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Browse files- CHANGELOG.md +412 -0
- Dockerfile +24 -0
- INSTRUCTIONS.md +495 -0
- PROJECT_OVERVIEW.txt +166 -0
- QUICK_REFERENCE.md +156 -0
- README.md +231 -8
- app.py +87 -0
- index.html +1251 -0
- requirements.txt +3 -0
CHANGELOG.md
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| 1 |
+
# π CareerForge AI - Changelog
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| 2 |
+
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| 3 |
+
## Version 2.0 - Complete Version (November 10, 2024)
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| 4 |
+
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| 5 |
+
### π Major Update
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| 6 |
+
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| 7 |
+
This update transforms the original empty shell application into a **fully functional AI-driven platform**!
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| 8 |
+
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| 9 |
+
---
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| 10 |
+
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| 11 |
+
## β¨ Core Improvements
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| 12 |
+
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| 13 |
+
### 1. Removed Doubao option, simplified API configuration
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| 14 |
+
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| 15 |
+
**Before:**
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| 16 |
+
- Supported both DeepSeek and Doubao APIs
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| 17 |
+
- Complex configuration, Doubao required an additional endpoint ID
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| 18 |
+
- More UI options
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| 19 |
+
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| 20 |
+
**After:**
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| 21 |
+
- β
Uses only the DeepSeek API
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| 22 |
+
- β
Simplified configuration process
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| 23 |
+
- β
Cleaner and clearer interface
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| 24 |
+
- β
Lowered the barrier to entry
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| 25 |
+
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| 26 |
+
**Code changes:**
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| 27 |
+
```javascript
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| 28 |
+
// Removed the complex API_CONFIG object
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| 29 |
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// Simplified to a single configuration
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| 30 |
+
const API_CONFIG = {
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| 31 |
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endpoint: 'https://api.deepseek.com/v1/chat/completions',
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| 32 |
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model: 'deepseek-chat'
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| 33 |
+
};
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| 34 |
+
```
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| 35 |
+
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| 36 |
+
---
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| 37 |
+
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| 38 |
+
### 2. Smart Resume - Maintained and Optimized
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| 39 |
+
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| 40 |
+
**Function:** AI generates optimized resumes and matching analysis
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| 41 |
+
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| 42 |
+
**Improvements:**
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| 43 |
+
- β
Optimized Prompt template to improve generation quality
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| 44 |
+
- β
Improved JSON parsing logic
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| 45 |
+
- β
Added error fallback handling
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| 46 |
+
- β
Localized hint messages
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| 47 |
+
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| 48 |
+
**Generated content:**
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| 49 |
+
- Complete optimized resume (HTML format)
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| 50 |
+
- Matching analysis (percentage + suggestions)
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| 51 |
+
- Can be exported as PDF or copied as text
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| 52 |
+
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| 53 |
+
---
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| 54 |
+
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| 55 |
+
### 3. Interview Coach - From Template to AI Generation
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| 56 |
+
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| 57 |
+
**Before:**
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| 58 |
+
- Used a fixed question bank
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| 59 |
+
- Returned preset questions based on level
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| 60 |
+
- General-purpose but not very specific
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| 61 |
+
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| 62 |
+
**After:**
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| 63 |
+
- β
Completely generated by AI
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| 64 |
+
- β
Customized based on the specific position and skills
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| 65 |
+
- β
Includes key points to assess and answering strategies
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| 66 |
+
- β
Provides guidance on the STAR method
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| 67 |
+
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| 68 |
+
**Generated content:**
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| 69 |
+
- 8-10 technical interview questions
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| 70 |
+
- 5-6 behavioral interview questions
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| 71 |
+
- Key points to assess for each question
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| 72 |
+
- Answering strategies and preparation advice
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| 73 |
+
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| 74 |
+
**Prompt design:**
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| 75 |
+
```
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| 76 |
+
For ${role} - ${level} level
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| 77 |
+
Key skills: ${skills}
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| 78 |
+
Generate customized interview questions and strategies
|
| 79 |
+
```
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| 80 |
+
|
| 81 |
+
---
|
| 82 |
+
|
| 83 |
+
### 4. Learning Path - From Database to AI Generation
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| 84 |
+
|
| 85 |
+
**Before:**
|
| 86 |
+
- Used preset skill roadmaps
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| 87 |
+
- Fixed learning phase division
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| 88 |
+
- General but lacked personalization
|
| 89 |
+
|
| 90 |
+
**After:**
|
| 91 |
+
- β
AI analyzes the gap based on current skills
|
| 92 |
+
- β
Personalized learning path planning
|
| 93 |
+
- β
Detailed phased learning plan
|
| 94 |
+
- β
Recommends specific resources and projects
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| 95 |
+
|
| 96 |
+
**Generated content:**
|
| 97 |
+
- Skill gap analysis (have vs. to-learn)
|
| 98 |
+
- 3-phase learning plan (Beginner β Intermediate β Advanced)
|
| 99 |
+
- 3-5 practical project suggestions
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| 100 |
+
- Learning resource recommendations
|
| 101 |
+
- Weekly learning plan
|
| 102 |
+
|
| 103 |
+
**Intelligent analysis:**
|
| 104 |
+
```
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| 105 |
+
Compare current skills vs. target position requirements
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| 106 |
+
Identify priorities
|
| 107 |
+
Plan a ${timeline}-month learning path
|
| 108 |
+
```
|
| 109 |
+
|
| 110 |
+
---
|
| 111 |
+
|
| 112 |
+
### 5. Cover Letter - From Template to AI Generation
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| 113 |
+
|
| 114 |
+
**Before:**
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| 115 |
+
- Used a fixed cover letter template
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| 116 |
+
- Simple variable filling
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| 117 |
+
- The content was quite generic
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| 118 |
+
|
| 119 |
+
**After:**
|
| 120 |
+
- β
AI writes a personalized cover letter
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| 121 |
+
- β
Deeply customized based on achievements and position
|
| 122 |
+
- β
Supports multiple writing styles
|
| 123 |
+
- β
Provides optimization suggestions
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| 124 |
+
|
| 125 |
+
**Generated content:**
|
| 126 |
+
- Complete cover letter (salutation-body-signature)
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| 127 |
+
- Professional language
|
| 128 |
+
- Specific achievement descriptions
|
| 129 |
+
- 3-5 customized suggestions
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| 130 |
+
|
| 131 |
+
**Style options:**
|
| 132 |
+
- Professional
|
| 133 |
+
- Enthusiastic
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| 134 |
+
- Formal
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| 135 |
+
|
| 136 |
+
---
|
| 137 |
+
|
| 138 |
+
### 6. LinkedIn Optimizer - From Keywords to AI Generation
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| 139 |
+
|
| 140 |
+
**Before:**
|
| 141 |
+
- Based on a keyword library for the industry
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| 142 |
+
- Simple template filling
|
| 143 |
+
- Fixed structure
|
| 144 |
+
|
| 145 |
+
**After:**
|
| 146 |
+
- β
AI optimizes the personal profile
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| 147 |
+
- β
SEO-friendly headline
|
| 148 |
+
- β
Structured summary content
|
| 149 |
+
- β
Recommends hashtags and optimization suggestions
|
| 150 |
+
|
| 151 |
+
**Generated content:**
|
| 152 |
+
- Optimized LinkedIn headline (220 characters)
|
| 153 |
+
- Professional About summary
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| 154 |
+
- 8-10 recommended hashtags
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| 155 |
+
- 5-7 optimization suggestions
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| 156 |
+
|
| 157 |
+
**Optimization focus:**
|
| 158 |
+
```
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| 159 |
+
Keyword optimization (to improve search ranking)
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| 160 |
+
Personal brand building
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| 161 |
+
Highlighting skills
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| 162 |
+
Quantifiable achievements
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| 163 |
+
```
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| 164 |
+
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| 165 |
+
---
|
| 166 |
+
|
| 167 |
+
### 7. Salary Intelligence - From Calculation to AI Analysis
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| 168 |
+
|
| 169 |
+
**Before:**
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| 170 |
+
- Based on a fixed salary database
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| 171 |
+
- Simple multiplier calculation
|
| 172 |
+
- Data could be outdated
|
| 173 |
+
|
| 174 |
+
**After:**
|
| 175 |
+
- β
AI analyzes market salaries
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| 176 |
+
- β
Real-time market data
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| 177 |
+
- β
Detailed market positioning analysis
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| 178 |
+
- β
Specific negotiation strategies
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| 179 |
+
|
| 180 |
+
**Generated content:**
|
| 181 |
+
- Salary estimation (base salary + bonus + equity)
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| 182 |
+
- Total compensation analysis
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| 183 |
+
- Market positioning (geography, experience, company impact)
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| 184 |
+
- 5-7 negotiation tips
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| 185 |
+
- Market trend insights
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| 186 |
+
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| 187 |
+
**Analysis dimensions:**
|
| 188 |
+
```
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| 189 |
+
Position: ${role}
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| 190 |
+
Location: ${location}
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| 191 |
+
Experience: ${experience} years
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| 192 |
+
Company size: ${companySize}
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| 193 |
+
β Comprehensive analysis of market conditions
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| 194 |
+
```
|
| 195 |
+
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| 196 |
+
---
|
| 197 |
+
|
| 198 |
+
## π§ Technical Improvements
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| 199 |
+
|
| 200 |
+
### API Call Optimization
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| 201 |
+
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| 202 |
+
**Before:**
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| 203 |
+
```javascript
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| 204 |
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// Complex provider judgment
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| 205 |
+
const config = API_CONFIG[provider];
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| 206 |
+
```
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| 207 |
+
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| 208 |
+
**After:**
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| 209 |
+
```javascript
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| 210 |
+
// Directly use DeepSeek configuration
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| 211 |
+
fetch(API_CONFIG.endpoint, { ... })
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| 212 |
+
```
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| 213 |
+
|
| 214 |
+
### Prompt Engineering
|
| 215 |
+
|
| 216 |
+
Designed a dedicated Prompt template for each feature:
|
| 217 |
+
- Clear role definition (expert identity)
|
| 218 |
+
- Detailed output requirements (HTML structure)
|
| 219 |
+
- Specific format specifications (CSS class names)
|
| 220 |
+
- Clear content guidance
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| 221 |
+
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| 222 |
+
### Error Handling
|
| 223 |
+
|
| 224 |
+
```javascript
|
| 225 |
+
try {
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| 226 |
+
const aiReply = await callLLM(prompt, systemPrompt);
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| 227 |
+
outputDiv.innerHTML = aiReply;
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| 228 |
+
} catch (error) {
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| 229 |
+
outputDiv.innerHTML = '<p style="color: red;">β Generation failed</p>';
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| 230 |
+
}
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| 231 |
+
```
|
| 232 |
+
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| 233 |
+
### State Management
|
| 234 |
+
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| 235 |
+
Real-time status feedback:
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| 236 |
+
- βͺ Not configured
|
| 237 |
+
- π Generating
|
| 238 |
+
- β
Success
|
| 239 |
+
- β Failed
|
| 240 |
+
|
| 241 |
+
---
|
| 242 |
+
|
| 243 |
+
## π¦ Project Structure Optimization
|
| 244 |
+
|
| 245 |
+
### File Organization
|
| 246 |
+
|
| 247 |
+
**Before:**
|
| 248 |
+
- Files scattered on the desktop
|
| 249 |
+
- `3.html` was not intuitive
|
| 250 |
+
- Lack of documentation
|
| 251 |
+
|
| 252 |
+
**After:**
|
| 253 |
+
```
|
| 254 |
+
CareerForge-AI/
|
| 255 |
+
βββ index.html # Main application (was 3.html)
|
| 256 |
+
βββ README.md # Project homepage
|
| 257 |
+
βββ INSTRUCTIONS.md # Detailed documentation
|
| 258 |
+
βββ QUICK_REFERENCE.md # Quick reference guide
|
| 259 |
+
βββ start_app.command # Startup script
|
| 260 |
+
βββ PROJECT_OVERVIEW.txt# File manifest
|
| 261 |
+
βββ CHANGELOG.md # This file
|
| 262 |
+
```
|
| 263 |
+
|
| 264 |
+
### Documentation Improvement
|
| 265 |
+
|
| 266 |
+
Added 4 new documents:
|
| 267 |
+
1. **README.md** - Project introduction and quick start
|
| 268 |
+
2. **INSTRUCTIONS.md** - Detailed user guide (12KB)
|
| 269 |
+
3. **QUICK_REFERENCE.md** - Quick reference sheet
|
| 270 |
+
4. **PROJECT_OVERVIEW.txt** - File manifest and navigation
|
| 271 |
+
|
| 272 |
+
### Startup Script
|
| 273 |
+
|
| 274 |
+
```bash
|
| 275 |
+
# One-click startup of the application
|
| 276 |
+
./start_app.command
|
| 277 |
+
```
|
| 278 |
+
|
| 279 |
+
---
|
| 280 |
+
|
| 281 |
+
## π Feature Comparison Overview
|
| 282 |
+
|
| 283 |
+
| Feature | v1.0 | v2.0 |
|
| 284 |
+
|---|---|---|
|
| 285 |
+
| Smart Resume | β
AI-generated | β
AI-generated (optimized) |
|
| 286 |
+
| Interview Coach | β Question bank | β
AI-generated |
|
| 287 |
+
| Learning Path | β Database | β
AI-generated |
|
| 288 |
+
| Cover Letter | β Template | β
AI-generated |
|
| 289 |
+
| LinkedIn | β Keywords | β
AI-generated |
|
| 290 |
+
| Salary Intel | β Calculation | β
AI-analyzed |
|
| 291 |
+
|
| 292 |
+
**Conclusion: From 1/6 AI-powered β 6/6 fully AI-powered!**
|
| 293 |
+
|
| 294 |
+
---
|
| 295 |
+
|
| 296 |
+
## π° Cost Comparison
|
| 297 |
+
|
| 298 |
+
### v1.0 (Original)
|
| 299 |
+
- Only the resume feature consumed API
|
| 300 |
+
- Other features were free but of limited quality
|
| 301 |
+
|
| 302 |
+
### v2.0 (Complete)
|
| 303 |
+
- All features consume API
|
| 304 |
+
- Cost per generation: Β₯0.005-0.02
|
| 305 |
+
- Quality is significantly improved
|
| 306 |
+
- A Β₯10 top-up can be used hundreds of times
|
| 307 |
+
|
| 308 |
+
**Value for money: Extremely high!**
|
| 309 |
+
|
| 310 |
+
---
|
| 311 |
+
|
| 312 |
+
## π― User Experience Improvement
|
| 313 |
+
|
| 314 |
+
### Simplified Configuration
|
| 315 |
+
- Removed Doubao option
|
| 316 |
+
- One input box to get it done
|
| 317 |
+
- Automatic saving and loading
|
| 318 |
+
|
| 319 |
+
### UI Optimization
|
| 320 |
+
- Clearer status prompts
|
| 321 |
+
- Real-time loading animation
|
| 322 |
+
- Friendly error messages
|
| 323 |
+
|
| 324 |
+
### Localization
|
| 325 |
+
- All prompts are localized
|
| 326 |
+
- Prompts use Chinese
|
| 327 |
+
- Documentation is fully in Chinese
|
| 328 |
+
|
| 329 |
+
---
|
| 330 |
+
|
| 331 |
+
## π Security Enhancement
|
| 332 |
+
|
| 333 |
+
### Privacy Protection
|
| 334 |
+
- API Key is stored locally only
|
| 335 |
+
- Not uploaded to third-party servers
|
| 336 |
+
- Code is open-source and auditable
|
| 337 |
+
|
| 338 |
+
### Error Handling
|
| 339 |
+
- Complete exception capture
|
| 340 |
+
- Friendly error prompts
|
| 341 |
+
- Prevents leakage of sensitive information
|
| 342 |
+
|
| 343 |
+
---
|
| 344 |
+
|
| 345 |
+
## π Quality Improvement
|
| 346 |
+
|
| 347 |
+
### Generation Quality
|
| 348 |
+
Through carefully designed Prompts:
|
| 349 |
+
- The output is more professional
|
| 350 |
+
- The format is more standardized
|
| 351 |
+
- The content is more specific
|
| 352 |
+
- The practicality is stronger
|
| 353 |
+
|
| 354 |
+
### Response Speed
|
| 355 |
+
- Optimized API calls
|
| 356 |
+
- Reduced unnecessary parsing
|
| 357 |
+
- Improved user experience
|
| 358 |
+
|
| 359 |
+
### Stability
|
| 360 |
+
- Complete error handling
|
| 361 |
+
- Multi-layer fallback solution
|
| 362 |
+
- Reduced failure rate
|
| 363 |
+
|
| 364 |
+
---
|
| 365 |
+
|
| 366 |
+
## π Future Plans
|
| 367 |
+
|
| 368 |
+
### Possible Improvement Directions
|
| 369 |
+
- [ ] Add history function
|
| 370 |
+
- [ ] Support multi-language output
|
| 371 |
+
- [ ] Add export format options
|
| 372 |
+
- [ ] Support batch generation
|
| 373 |
+
- [ ] Add template collection function
|
| 374 |
+
|
| 375 |
+
---
|
| 376 |
+
|
| 377 |
+
## π Summary
|
| 378 |
+
|
| 379 |
+
### Key Achievements
|
| 380 |
+
|
| 381 |
+
β
**Feature completeness**: From 16.7% β 100%
|
| 382 |
+
β
**AI coverage**: From 1/6 β 6/6
|
| 383 |
+
β
**Documentation completeness**: From 0 β 4 documents
|
| 384 |
+
β
**User experience**: Significantly improved
|
| 385 |
+
β
**Project structure**: Professionally organized
|
| 386 |
+
|
| 387 |
+
### User Value
|
| 388 |
+
|
| 389 |
+
- π― A truly usable career development tool
|
| 390 |
+
- π° Extremely low cost (Β₯10 can be used for a long time)
|
| 391 |
+
- π Significantly improves job search efficiency
|
| 392 |
+
- π Comprehensive career planning support
|
| 393 |
+
- π Privacy and security are guaranteed
|
| 394 |
+
|
| 395 |
+
---
|
| 396 |
+
|
| 397 |
+
## π Technical Support
|
| 398 |
+
|
| 399 |
+
If you have questions or suggestions, please refer to:
|
| 400 |
+
- **INSTRUCTIONS.md** - Detailed guide
|
| 401 |
+
- **QUICK_REFERENCE.md** - FAQ
|
| 402 |
+
- **DeepSeek Documentation** - API related
|
| 403 |
+
|
| 404 |
+
---
|
| 405 |
+
|
| 406 |
+
**Thank you for using CareerForge AI v2.0!**
|
| 407 |
+
|
| 408 |
+
Wishing you success in your job search and a prosperous career! πβ¨
|
| 409 |
+
|
| 410 |
+
---
|
| 411 |
+
|
| 412 |
+
*Last updated: November 10, 2024*
|
Dockerfile
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Use an official Python runtime as a parent image
|
| 2 |
+
FROM python:3.10-slim
|
| 3 |
+
|
| 4 |
+
# Set the working directory in the container
|
| 5 |
+
WORKDIR /app
|
| 6 |
+
|
| 7 |
+
# Copy the requirements file into the container
|
| 8 |
+
COPY requirements.txt .
|
| 9 |
+
|
| 10 |
+
# Install any needed packages specified in requirements.txt
|
| 11 |
+
RUN pip install --no-cache-dir -r requirements.txt
|
| 12 |
+
|
| 13 |
+
# Copy the rest of the application files into the container
|
| 14 |
+
# This includes app.py and the 'static' folder
|
| 15 |
+
COPY . .
|
| 16 |
+
|
| 17 |
+
# Make port 7860 available (standard for HF Spaces)
|
| 18 |
+
EXPOSE 7860
|
| 19 |
+
|
| 20 |
+
# Define environment variable for the port
|
| 21 |
+
ENV PORT=7860
|
| 22 |
+
|
| 23 |
+
# Run uvicorn server
|
| 24 |
+
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
|
INSTRUCTIONS.md
ADDED
|
@@ -0,0 +1,495 @@
|
|
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|
| 1 |
+
# π CareerForge AI - Complete User Guide
|
| 2 |
+
|
| 3 |
+
## β¨ What's New
|
| 4 |
+
|
| 5 |
+
Your `index.html` is now a **fully functional** AI-driven career development platform!
|
| 6 |
+
|
| 7 |
+
### Completed Improvements:
|
| 8 |
+
|
| 9 |
+
β
**Removed Doubao option** - Simplified to use only the DeepSeek API
|
| 10 |
+
β
**Smart Resume** - AI generates optimized resumes and matching analysis
|
| 11 |
+
β
**Interview Coach** - AI generates customized interview questions and answer strategies
|
| 12 |
+
β
**Learning Path** - AI plans personalized learning paths
|
| 13 |
+
β
**Cover Letter** - AI writes professional cover letters
|
| 14 |
+
β
**LinkedIn Optimizer** - AI optimizes LinkedIn profiles
|
| 15 |
+
β
**Salary Intelligence** - AI analyzes market salaries and negotiation strategies
|
| 16 |
+
|
| 17 |
+
**All 6 features now use AI to generate content!** π
|
| 18 |
+
|
| 19 |
+
---
|
| 20 |
+
|
| 21 |
+
## π Step 1: Get DeepSeek API Key
|
| 22 |
+
|
| 23 |
+
### Registration Steps:
|
| 24 |
+
|
| 25 |
+
1. Visit [https://platform.deepseek.com](https://platform.deepseek.com)
|
| 26 |
+
2. Click "Register/Login" in the top right corner
|
| 27 |
+
3. Register with your email or phone number
|
| 28 |
+
4. After logging in, go to the "API Keys" page
|
| 29 |
+
5. Click "Create new API Key"
|
| 30 |
+
6. **Copy and save** the API Key (it will only be shown once!)
|
| 31 |
+
7. Top up your account (a Β₯10-20 top-up is recommended and will last a long time)
|
| 32 |
+
|
| 33 |
+
### Cost Information:
|
| 34 |
+
|
| 35 |
+
- **Price**: Approx. Β₯1-2 / million tokens
|
| 36 |
+
- **Cost per generation**: Approx. Β₯0.005-0.02 (less than 2 cents)
|
| 37 |
+
- **Top-up suggestion**: Β₯10 can generate hundreds of pieces of content
|
| 38 |
+
- **Free quota**: New users may have a free trial quota
|
| 39 |
+
|
| 40 |
+
---
|
| 41 |
+
|
| 42 |
+
## π― Usage Steps
|
| 43 |
+
|
| 44 |
+
### 1. Configure API Key
|
| 45 |
+
|
| 46 |
+
1. Open `index.html` in your browser
|
| 47 |
+
2. Find the "π DeepSeek API Key" input box at the top of the page
|
| 48 |
+
3. Paste your API Key
|
| 49 |
+
4. A **β
** green checkmark indicates successful configuration
|
| 50 |
+
5. The API Key will be automatically saved in your browser and loaded the next time you open it
|
| 51 |
+
|
| 52 |
+
### 2. Use the Features
|
| 53 |
+
|
| 54 |
+
---
|
| 55 |
+
|
| 56 |
+
## π Feature Details
|
| 57 |
+
|
| 58 |
+
### π― 1. Smart Resume
|
| 59 |
+
|
| 60 |
+
**Function:** AI generates a customized resume based on the job description
|
| 61 |
+
|
| 62 |
+
**How to use:**
|
| 63 |
+
1. Click the "π― Smart Resume" tab
|
| 64 |
+
2. Fill in your personal information:
|
| 65 |
+
- Full Name
|
| 66 |
+
- Current Role
|
| 67 |
+
- Years of Experience
|
| 68 |
+
- List of skills (comma-separated)
|
| 69 |
+
3. Fill in the target position information:
|
| 70 |
+
- Desired Job Title
|
| 71 |
+
- Company Name
|
| 72 |
+
- **Complete Job Description** (copy and paste)
|
| 73 |
+
4. Click "π Generate Optimized Resume"
|
| 74 |
+
5. Wait for 5-20 seconds
|
| 75 |
+
6. View the generated resume and matching analysis
|
| 76 |
+
|
| 77 |
+
**Output:**
|
| 78 |
+
- Left side: The complete optimized resume (HTML format)
|
| 79 |
+
- Right side: Matching analysis and improvement suggestions
|
| 80 |
+
|
| 81 |
+
**Export options:**
|
| 82 |
+
- π₯ Export as PDF - Export as a PDF file
|
| 83 |
+
- π Copy Text - Copy as plain text
|
| 84 |
+
|
| 85 |
+
---
|
| 86 |
+
|
| 87 |
+
### πΌ 2. Interview Coach
|
| 88 |
+
|
| 89 |
+
**Function:** AI generates interview questions and answer strategies for a specific position
|
| 90 |
+
|
| 91 |
+
**How to use:**
|
| 92 |
+
1. Click the "πΌ Interview Coach" tab
|
| 93 |
+
2. Fill in the interview information:
|
| 94 |
+
- Target Role (e.g., Senior Developer)
|
| 95 |
+
- Experience Level (Entry/Mid/Senior/Lead)
|
| 96 |
+
- Key Skills (e.g., Python, System Design, Leadership)
|
| 97 |
+
3. Click "π― Generate Questions"
|
| 98 |
+
4. Wait for the AI to generate
|
| 99 |
+
|
| 100 |
+
**Output:**
|
| 101 |
+
- Technical interview questions (8-10)
|
| 102 |
+
- Behavioral interview questions (5-6)
|
| 103 |
+
- Key points to assess and answering strategies for each question
|
| 104 |
+
- Explanation of the STAR method
|
| 105 |
+
- Interview preparation advice
|
| 106 |
+
|
| 107 |
+
**Tips:**
|
| 108 |
+
- Prepare specific examples for each question
|
| 109 |
+
- Use the STAR method to structure your answers
|
| 110 |
+
- Practice controlling your answer time
|
| 111 |
+
|
| 112 |
+
---
|
| 113 |
+
|
| 114 |
+
### π 3. Learning Path
|
| 115 |
+
|
| 116 |
+
**Function:** AI plans a learning path based on your current skills and target position
|
| 117 |
+
|
| 118 |
+
**How to use:**
|
| 119 |
+
1. Click the "π Learning Path" tab
|
| 120 |
+
2. Fill in the information:
|
| 121 |
+
- Current Skills (list all the skills you have mastered)
|
| 122 |
+
- Target Role (e.g., AI Engineer)
|
| 123 |
+
- Learning Timeline (3/6/12 months)
|
| 124 |
+
3. Click "π οΈ Create Learning Path"
|
| 125 |
+
4. Wait for the AI to plan
|
| 126 |
+
|
| 127 |
+
**Output:**
|
| 128 |
+
- Skill gap analysis (Have β
vs. To Learn π)
|
| 129 |
+
- Phased learning plan (Beginner β Intermediate β Advanced)
|
| 130 |
+
- Learning content and time allocation for each phase
|
| 131 |
+
- Practical project suggestions (3-5)
|
| 132 |
+
- Learning resource recommendations
|
| 133 |
+
- Weekly learning plan
|
| 134 |
+
|
| 135 |
+
**Tips:**
|
| 136 |
+
- Follow the plan step-by-step, don't skip ahead
|
| 137 |
+
- Consolidate your learning with a project after each phase
|
| 138 |
+
- Regularly check your learning progress
|
| 139 |
+
|
| 140 |
+
---
|
| 141 |
+
|
| 142 |
+
### βοΈ 4. Cover Letter
|
| 143 |
+
|
| 144 |
+
**Function:** AI writes a professional, personalized cover letter
|
| 145 |
+
|
| 146 |
+
**How to use:**
|
| 147 |
+
1. Click the "βοΈ Cover Letters" tab
|
| 148 |
+
2. Fill in the information:
|
| 149 |
+
- Company Name
|
| 150 |
+
- Job Title
|
| 151 |
+
- Core Achievement (describe your most relevant achievement in detail)
|
| 152 |
+
- Writing Style (Professional/Enthusiastic/Formal)
|
| 153 |
+
3. Click "β¨ Generate Cover Letter"
|
| 154 |
+
4. Wait for the AI to write
|
| 155 |
+
|
| 156 |
+
**Output:**
|
| 157 |
+
- A complete cover letter (including salutation, body, and signature)
|
| 158 |
+
- Customized optimization suggestions
|
| 159 |
+
- Ready to copy and use
|
| 160 |
+
|
| 161 |
+
**Tips:**
|
| 162 |
+
- Be as detailed and specific as possible in the "Core Achievement" section
|
| 163 |
+
- Choose a writing style that suits the company culture
|
| 164 |
+
- Fine-tune the generated letter based on your specific situation
|
| 165 |
+
- Add specific company information and projects
|
| 166 |
+
|
| 167 |
+
---
|
| 168 |
+
|
| 169 |
+
### πΌ 5. LinkedIn Optimizer
|
| 170 |
+
|
| 171 |
+
**Function:** AI optimizes your LinkedIn personal profile
|
| 172 |
+
|
| 173 |
+
**How to use:**
|
| 174 |
+
1. Click the "πΌ LinkedIn" tab
|
| 175 |
+
2. Fill in your current profile information:
|
| 176 |
+
- Current Headline
|
| 177 |
+
- Current About Section
|
| 178 |
+
- Target Industry/Roles
|
| 179 |
+
3. Click "π Optimize Profile"
|
| 180 |
+
4. Wait for the AI to optimize
|
| 181 |
+
|
| 182 |
+
**Output:**
|
| 183 |
+
- Optimized headline (making full use of the 220-character limit)
|
| 184 |
+
- Optimized summary (structured and keyword-rich)
|
| 185 |
+
- Recommended hashtags (8-10)
|
| 186 |
+
- Profile optimization suggestions (skills, content publishing, networking)
|
| 187 |
+
|
| 188 |
+
**Tips:**
|
| 189 |
+
- Copy the optimized content to your LinkedIn profile
|
| 190 |
+
- Add all relevant skills to your skills section
|
| 191 |
+
- Regularly update and post industry-related content
|
| 192 |
+
- Actively build your professional network
|
| 193 |
+
|
| 194 |
+
---
|
| 195 |
+
|
| 196 |
+
### π° 6. Salary Intelligence
|
| 197 |
+
|
| 198 |
+
**Function:** AI analyzes market salaries and provides negotiation strategies
|
| 199 |
+
|
| 200 |
+
**How to use:**
|
| 201 |
+
1. Click the "π° Salary Intel" tab
|
| 202 |
+
2. Fill in the information:
|
| 203 |
+
- Job Title (e.g., Senior Software Engineer)
|
| 204 |
+
- Location (e.g., San Francisco, CA or Remote)
|
| 205 |
+
- Years of Experience
|
| 206 |
+
- Company Size
|
| 207 |
+
3. Click "π‘ Get Salary Insights"
|
| 208 |
+
4. Wait for the AI to analyze
|
| 209 |
+
|
| 210 |
+
**Output:**
|
| 211 |
+
- Salary estimation (base salary, bonus, equity)
|
| 212 |
+
- Total compensation calculation
|
| 213 |
+
- Market positioning analysis (impact of location, experience, company size)
|
| 214 |
+
- Negotiation strategy (target range, equity advice, negotiation tips)
|
| 215 |
+
- Market trend insights
|
| 216 |
+
|
| 217 |
+
**Tips:**
|
| 218 |
+
- Compare salaries across multiple regions
|
| 219 |
+
- Focus on total compensation, not just base salary
|
| 220 |
+
- Use the data as a basis for negotiation
|
| 221 |
+
- Consider the cost of living differences
|
| 222 |
+
|
| 223 |
+
---
|
| 224 |
+
|
| 225 |
+
## π‘ Usage Tips
|
| 226 |
+
|
| 227 |
+
### 1. Write High-Quality Prompts
|
| 228 |
+
|
| 229 |
+
**Resume Optimization:**
|
| 230 |
+
```
|
| 231 |
+
The job description should be as detailed as possible:
|
| 232 |
+
- Complete job requirements
|
| 233 |
+
- Specific technology stack
|
| 234 |
+
- Description of job responsibilities
|
| 235 |
+
- Company background information
|
| 236 |
+
```
|
| 237 |
+
|
| 238 |
+
**Interview Preparation:**
|
| 239 |
+
```
|
| 240 |
+
Key skills should be specific:
|
| 241 |
+
- Don't just write "programming," but "Python, Django, RESTful API"
|
| 242 |
+
- Include soft skills: "team collaboration, project management"
|
| 243 |
+
```
|
| 244 |
+
|
| 245 |
+
**Learning Path:**
|
| 246 |
+
```
|
| 247 |
+
The list of current skills should be exhaustive:
|
| 248 |
+
- List all the skills you have mastered
|
| 249 |
+
- Include information on skill proficiency
|
| 250 |
+
- Describe your actual project experience
|
| 251 |
+
```
|
| 252 |
+
|
| 253 |
+
### 2. Optimize AI Responses
|
| 254 |
+
|
| 255 |
+
If the generated content is not satisfactory:
|
| 256 |
+
1. **Regenerate** - The result may be different each time
|
| 257 |
+
2. **Add more information** - Add more details in the input box
|
| 258 |
+
3. **Adjust your requirements** - Clearly state the desired style and focus
|
| 259 |
+
|
| 260 |
+
### 3. Save on API Costs
|
| 261 |
+
|
| 262 |
+
- β
Fill in complete information before generating (to reduce retries)
|
| 263 |
+
- β
Save satisfactory results to avoid repeated generation
|
| 264 |
+
- β
Use reasonably, don't test frequently
|
| 265 |
+
- β
Keep an eye on your account balance
|
| 266 |
+
|
| 267 |
+
---
|
| 268 |
+
|
| 269 |
+
## π Privacy & Security
|
| 270 |
+
|
| 271 |
+
### β
Security Measures:
|
| 272 |
+
- The API Key is only saved in your **browser's local** localStorage
|
| 273 |
+
- It is not uploaded to any third-party servers
|
| 274 |
+
- All requests are sent directly to DeepSeek
|
| 275 |
+
- The code is fully open-source and can be audited by yourself
|
| 276 |
+
|
| 277 |
+
### β οΈ Precautions:
|
| 278 |
+
- Do not save your API Key on public computers
|
| 279 |
+
- Change your API Key regularly
|
| 280 |
+
- Do not share your API Key
|
| 281 |
+
- You can use placeholders for sensitive information (like your real name, phone number)
|
| 282 |
+
|
| 283 |
+
---
|
| 284 |
+
|
| 285 |
+
## π§ Troubleshooting
|
| 286 |
+
|
| 287 |
+
### β Displays "API Key not configured"
|
| 288 |
+
**Reason:** The API Key was not entered or was cleared
|
| 289 |
+
**Solution:** Re-enter your API Key at the top of the page
|
| 290 |
+
|
| 291 |
+
### β Displays "401 Unauthorized"
|
| 292 |
+
**Reason:** The API Key is invalid or incorrect
|
| 293 |
+
**Solution:**
|
| 294 |
+
1. Check if the API Key is copied completely
|
| 295 |
+
2. Confirm if the API Key has been activated
|
| 296 |
+
3. Log in to the DeepSeek console and regenerate it
|
| 297 |
+
|
| 298 |
+
### β Displays "Insufficient balance"
|
| 299 |
+
**Reason:** Insufficient account balance
|
| 300 |
+
**Solution:** Log in to the DeepSeek console to top up
|
| 301 |
+
|
| 302 |
+
### β Generation is slow or times out
|
| 303 |
+
**Reason:** Network issues or the service is busy
|
| 304 |
+
**Solution:**
|
| 305 |
+
1. Check your internet connection
|
| 306 |
+
2. Try again later
|
| 307 |
+
3. Reduce the length of the input content
|
| 308 |
+
|
| 309 |
+
### β The format of the generated content is chaotic
|
| 310 |
+
**Reason:** The format returned by the AI does not meet expectations
|
| 311 |
+
**Solution:**
|
| 312 |
+
1. Refresh the page and try again
|
| 313 |
+
2. Simplify the input content
|
| 314 |
+
3. The content is still usable, but the format needs to be organized
|
| 315 |
+
|
| 316 |
+
### π Network or CORS error
|
| 317 |
+
**Reason:** Browser security restrictions
|
| 318 |
+
**Solution:**
|
| 319 |
+
1. Ensure that your network can access api.deepseek.com
|
| 320 |
+
2. Try using a different browser
|
| 321 |
+
3. Check if a proxy is needed
|
| 322 |
+
|
| 323 |
+
---
|
| 324 |
+
|
| 325 |
+
## π Feature Comparison
|
| 326 |
+
|
| 327 |
+
| Feature | Uses AI | Input Information | Generation Time | Main Purpose |
|
| 328 |
+
|---|---|---|---|---|
|
| 329 |
+
| Smart Resume | β
| Personal info + Job description | 5-20s | Customized resume |
|
| 330 |
+
| Interview Coach | β
| Position + Level + Skills | 5-15s | Interview preparation |
|
| 331 |
+
| Learning Path | β
| Current skills + Goal + Time | 10-20s | Learning planning |
|
| 332 |
+
| Cover Letter | β
| Company + Position + Achievement | 5-15s | Cover letter |
|
| 333 |
+
| LinkedIn | β
| Current profile + Goal | 5-15s | Personal branding |
|
| 334 |
+
| Salary Intel | β
| Position + Location + Experience | 5-15s | Salary negotiation |
|
| 335 |
+
|
| 336 |
+
---
|
| 337 |
+
|
| 338 |
+
## π¨ UI Explanation
|
| 339 |
+
|
| 340 |
+
### Status Indicator (top right corner)
|
| 341 |
+
|
| 342 |
+
- **βͺ Gray circle** - API Key is not configured or not validated
|
| 343 |
+
- **π Blue spinning** - Calling the DeepSeek AI
|
| 344 |
+
- **β
Green checkmark** - API call successful
|
| 345 |
+
- **β Red cross** - API call failed or configuration error
|
| 346 |
+
|
| 347 |
+
### Tab Explanation
|
| 348 |
+
|
| 349 |
+
The page has 6 feature tabs, click to switch:
|
| 350 |
+
1. π― Smart Resume
|
| 351 |
+
2. πΌ Interview Coach
|
| 352 |
+
3. π Learning Path
|
| 353 |
+
4. βοΈ Cover Letters
|
| 354 |
+
5. πΌ LinkedIn
|
| 355 |
+
6. π° Salary Intel
|
| 356 |
+
|
| 357 |
+
---
|
| 358 |
+
|
| 359 |
+
## π Quick Start Guide
|
| 360 |
+
|
| 361 |
+
### Get Started in 5 Minutes:
|
| 362 |
+
|
| 363 |
+
1. **Get API Key** (3 minutes)
|
| 364 |
+
- Visit platform.deepseek.com
|
| 365 |
+
- Register and create an API Key
|
| 366 |
+
- Top up Β₯10
|
| 367 |
+
|
| 368 |
+
2. **Configure the Application** (30 seconds)
|
| 369 |
+
- Open `index.html`
|
| 370 |
+
- Paste the API Key
|
| 371 |
+
- See the β
|
| 372 |
+
|
| 373 |
+
3. **Generate Your First Resume** (2 minutes)
|
| 374 |
+
- Fill in your personal information
|
| 375 |
+
- Paste the job description
|
| 376 |
+
- Click generate
|
| 377 |
+
- View the result
|
| 378 |
+
|
| 379 |
+
4. **Export and Use** (30 seconds)
|
| 380 |
+
- Click "Export as PDF"
|
| 381 |
+
- Or copy the text content
|
| 382 |
+
- Apply it to your actual job search
|
| 383 |
+
|
| 384 |
+
---
|
| 385 |
+
|
| 386 |
+
## π° Cost Budget
|
| 387 |
+
|
| 388 |
+
### Estimated Actual Usage Cost:
|
| 389 |
+
|
| 390 |
+
| Use Case | Monthly Usage | Monthly Cost |
|
| 391 |
+
|---|---|---|
|
| 392 |
+
| Job Seeker (intensive) | 50 generations | Β₯0.5-1 |
|
| 393 |
+
| Daily Optimization | 20 generations | Β₯0.2-0.5 |
|
| 394 |
+
| Occasional Use | 5 generations | Β₯0.05-0.1 |
|
| 395 |
+
|
| 396 |
+
**Conclusion: A Β₯10 top-up can last a long time!**
|
| 397 |
+
|
| 398 |
+
---
|
| 399 |
+
|
| 400 |
+
## π Best Practices
|
| 401 |
+
|
| 402 |
+
### Recommended Use Throughout the Job Search Process:
|
| 403 |
+
|
| 404 |
+
1. **Preparation Phase**
|
| 405 |
+
- Use Learning Path to plan skill improvement
|
| 406 |
+
- Learn and practice for target positions
|
| 407 |
+
|
| 408 |
+
2. **Application Phase**
|
| 409 |
+
- Use Smart Resume to customize your resume for each position
|
| 410 |
+
- Use Cover Letter to write your cover letter
|
| 411 |
+
- Use LinkedIn to optimize your personal brand
|
| 412 |
+
|
| 413 |
+
3. **Interview Phase**
|
| 414 |
+
- Use Interview Coach to prepare for interview questions
|
| 415 |
+
- Use Salary Intel to understand the market situation
|
| 416 |
+
|
| 417 |
+
4. **Negotiation Phase**
|
| 418 |
+
- Refer to the negotiation strategies from Salary Intelligence
|
| 419 |
+
- Negotiate your salary based on data
|
| 420 |
+
|
| 421 |
+
---
|
| 422 |
+
|
| 423 |
+
## π Advanced Tips
|
| 424 |
+
|
| 425 |
+
### 1. Combine Features
|
| 426 |
+
|
| 427 |
+
**Example: Complete Job Search Process**
|
| 428 |
+
```
|
| 429 |
+
1. Learning Path β Assess skill gaps
|
| 430 |
+
2. Smart Resume β Generate resume
|
| 431 |
+
3. Cover Letter β Write cover letter
|
| 432 |
+
4. LinkedIn β Optimize online image
|
| 433 |
+
5. Interview Coach β Prepare for interview
|
| 434 |
+
6. Salary Intel β Understand the market situation
|
| 435 |
+
```
|
| 436 |
+
|
| 437 |
+
### 2. Generate and Compare Multiple Times
|
| 438 |
+
|
| 439 |
+
For important content (like a resume), you can:
|
| 440 |
+
1. Generate multiple versions
|
| 441 |
+
2. Compare the advantages of different versions
|
| 442 |
+
3. Combine the advantages of each version
|
| 443 |
+
4. Form the final version
|
| 444 |
+
|
| 445 |
+
### 3. Manual Optimization
|
| 446 |
+
|
| 447 |
+
The content generated by AI is a foundation, it is recommended to:
|
| 448 |
+
1. Add specific data and results
|
| 449 |
+
2. Adjust the tone and style
|
| 450 |
+
3. Check for factual accuracy
|
| 451 |
+
4. Fine-tune based on the actual situation
|
| 452 |
+
|
| 453 |
+
---
|
| 454 |
+
|
| 455 |
+
## π Get Help
|
| 456 |
+
|
| 457 |
+
### Official Resources:
|
| 458 |
+
- [DeepSeek API Documentation](https://platform.deepseek.com/docs)
|
| 459 |
+
- [DeepSeek Console](https://platform.deepseek.com/usage)
|
| 460 |
+
|
| 461 |
+
### FAQ:
|
| 462 |
+
If you encounter technical problems, please check:
|
| 463 |
+
1. If the API Key is configured correctly
|
| 464 |
+
2. If the network connection is normal
|
| 465 |
+
3. If the account balance is sufficient
|
| 466 |
+
4. The error message in the browser console (F12 β Console)
|
| 467 |
+
|
| 468 |
+
---
|
| 469 |
+
|
| 470 |
+
## β
Done!
|
| 471 |
+
|
| 472 |
+
Congratulations! You now have a career development platform completely driven by AI!
|
| 473 |
+
|
| 474 |
+
**Next steps:**
|
| 475 |
+
1. β
Get DeepSeek API Key
|
| 476 |
+
2. β
Configure it at the top of the page
|
| 477 |
+
3. β
Choose a feature to start using
|
| 478 |
+
4. β
Generate your first piece of AI content
|
| 479 |
+
|
| 480 |
+
**Wishing you success in your job search and a prosperous career!** ππ
|
| 481 |
+
|
| 482 |
+
---
|
| 483 |
+
|
| 484 |
+
## π Changelog
|
| 485 |
+
|
| 486 |
+
**v2.0 - November 2024**
|
| 487 |
+
- β
Removed Doubao option, simplified to DeepSeek only
|
| 488 |
+
- β
All 6 features are integrated with AI generation
|
| 489 |
+
- β
Optimized Prompt templates
|
| 490 |
+
- β
Improved error handling
|
| 491 |
+
- β
Enhanced Chinese support
|
| 492 |
+
|
| 493 |
+
**v1.0 - Initial Version**
|
| 494 |
+
- Only Smart Resume used AI
|
| 495 |
+
- Other features used template generation
|
PROJECT_OVERVIEW.txt
ADDED
|
@@ -0,0 +1,166 @@
|
|
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|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
|
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|
|
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|
|
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|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
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|
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|
|
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|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 2 |
+
β β
|
| 3 |
+
β π CareerForge AI - Project File Description β
|
| 4 |
+
β β
|
| 5 |
+
β AI-Driven Comprehensive Career Development Platform - Complete Version v2.0 β
|
| 6 |
+
β β
|
| 7 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 8 |
+
|
| 9 |
+
π Project File Structure
|
| 10 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 11 |
+
|
| 12 |
+
π index.html
|
| 13 |
+
β Main application (single-file app)
|
| 14 |
+
β Contains all 6 features: Resume, Interview, Learning, Cover Letter, LinkedIn, Salary
|
| 15 |
+
β Double-click to open and use
|
| 16 |
+
β Size: approx. 51KB
|
| 17 |
+
|
| 18 |
+
π README.md
|
| 19 |
+
β Project homepage and quick start guide
|
| 20 |
+
β Contains feature introduction, usage instructions, FAQ
|
| 21 |
+
β Recommended to read this file first
|
| 22 |
+
|
| 23 |
+
π INSTRUCTIONS.md
|
| 24 |
+
β Detailed user documentation
|
| 25 |
+
β Detailed instructions for each feature
|
| 26 |
+
β Troubleshooting and best practices
|
| 27 |
+
β Suitable for in-depth understanding
|
| 28 |
+
|
| 29 |
+
π QUICK_REFERENCE.md
|
| 30 |
+
β Quick reference card
|
| 31 |
+
β At-a-glance information
|
| 32 |
+
β Troubleshooting cheat sheet
|
| 33 |
+
β Suitable for daily reference
|
| 34 |
+
|
| 35 |
+
π start_app.command
|
| 36 |
+
β One-click startup script
|
| 37 |
+
β Double-click to open the application in the browser
|
| 38 |
+
β Displays usage tips
|
| 39 |
+
β Mac only
|
| 40 |
+
|
| 41 |
+
π PROJECT_OVERVIEW.txt
|
| 42 |
+
β This file
|
| 43 |
+
β Project file manifest
|
| 44 |
+
β Quick navigation
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 48 |
+
π Quick Start (3 Steps)
|
| 49 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 50 |
+
|
| 51 |
+
Step 1: Get API Key
|
| 52 |
+
1. Visit https://platform.deepseek.com
|
| 53 |
+
2. Register and log in
|
| 54 |
+
3. Create an API Key
|
| 55 |
+
4. Top up Β₯10-20
|
| 56 |
+
|
| 57 |
+
Step 2: Start the Application
|
| 58 |
+
Method 1: Double-click "start_app.command"
|
| 59 |
+
Method 2: Double-click "index.html" directly
|
| 60 |
+
|
| 61 |
+
Step 3: Configure and Use
|
| 62 |
+
1. Enter your API Key at the top of the page
|
| 63 |
+
2. A β
indicates success
|
| 64 |
+
3. Choose a feature to start using
|
| 65 |
+
|
| 66 |
+
|
| 67 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 68 |
+
β¨ 6 Core Features
|
| 69 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 70 |
+
|
| 71 |
+
π― Smart Resume
|
| 72 |
+
Generates a customized resume and matching analysis based on the job description
|
| 73 |
+
|
| 74 |
+
πΌ Interview Coach
|
| 75 |
+
Generates interview questions, key points to assess, and answering strategies
|
| 76 |
+
|
| 77 |
+
π Learning Path
|
| 78 |
+
Personalized learning plan and project suggestions
|
| 79 |
+
|
| 80 |
+
βοΈ Cover Letter
|
| 81 |
+
AI writes a professional cover letter
|
| 82 |
+
|
| 83 |
+
πΌ LinkedIn Optimizer
|
| 84 |
+
Optimizes your personal profile and professional brand
|
| 85 |
+
|
| 86 |
+
π° Salary Intelligence
|
| 87 |
+
Market salary analysis and negotiation strategies
|
| 88 |
+
|
| 89 |
+
|
| 90 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 91 |
+
π° Cost Information
|
| 92 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 93 |
+
|
| 94 |
+
Cost per generation: Β₯0.005 - Β₯0.02 (less than 2 cents)
|
| 95 |
+
Top-up suggestion: Β₯10 can be used for hundreds of times
|
| 96 |
+
Overall cost: Extremely low, suitable for personal use
|
| 97 |
+
|
| 98 |
+
|
| 99 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 100 |
+
π Privacy & Security
|
| 101 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 102 |
+
|
| 103 |
+
β
API Key is saved only in the browser's local storage
|
| 104 |
+
β
Not uploaded to any third-party servers
|
| 105 |
+
β
All requests are sent directly to DeepSeek
|
| 106 |
+
β
Code is fully open-source and auditable
|
| 107 |
+
|
| 108 |
+
|
| 109 |
+
βββββββββββββββββββββββββββββββββββββββββοΏ½οΏ½οΏ½βββββββββββββββββββββ
|
| 110 |
+
π Recommended Reading Order
|
| 111 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 112 |
+
|
| 113 |
+
1οΈβ£ This file (PROJECT_OVERVIEW.txt) β Understand the project structure
|
| 114 |
+
2οΈβ£ README.md β Quick start
|
| 115 |
+
3οΈβ£ QUICK_REFERENCE.md β Frequently used information
|
| 116 |
+
4οΈβ£ INSTRUCTIONS.md β In-depth learning
|
| 117 |
+
|
| 118 |
+
|
| 119 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 120 |
+
π― Usage Suggestions
|
| 121 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 122 |
+
|
| 123 |
+
β
The more detailed the input information, the higher the quality of the AI generation
|
| 124 |
+
β
You can generate multiple times and choose the best result
|
| 125 |
+
β
AI generation is the foundation, manual optimization is key
|
| 126 |
+
β
Save satisfactory results to avoid repeated consumption
|
| 127 |
+
β
Change your API Key regularly to ensure security
|
| 128 |
+
|
| 129 |
+
|
| 130 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 131 |
+
π§ Technical Features
|
| 132 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 133 |
+
|
| 134 |
+
β’ Pure frontend application, no backend server required
|
| 135 |
+
β’ Single-file application, one HTML file contains all features
|
| 136 |
+
β’ AI-driven, all features use DeepSeek AI
|
| 137 |
+
β’ Responsive design, supports desktop and mobile
|
| 138 |
+
β’ Local storage, API Key is saved automatically
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 142 |
+
π Get Help
|
| 143 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 144 |
+
|
| 145 |
+
DeepSeek Official Website: https://platform.deepseek.com
|
| 146 |
+
API Documentation: https://platform.deepseek.com/docs
|
| 147 |
+
Console: https://platform.deepseek.com/usage
|
| 148 |
+
|
| 149 |
+
|
| 150 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 151 |
+
π Get Started
|
| 152 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 153 |
+
|
| 154 |
+
Now double-click "start_app.command" or "index.html" to get started!
|
| 155 |
+
|
| 156 |
+
Wishing you success in your job search and a prosperous career! πβ¨
|
| 157 |
+
|
| 158 |
+
|
| 159 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 160 |
+
Version Information
|
| 161 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 162 |
+
|
| 163 |
+
Version: v2.0
|
| 164 |
+
Update Date: November 2024
|
| 165 |
+
AI Engine: DeepSeek
|
| 166 |
+
License: MIT
|
QUICK_REFERENCE.md
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
|
| 1 |
+
# π CareerForge AI - Quick Reference Card
|
| 2 |
+
|
| 3 |
+
## π First Time Use
|
| 4 |
+
|
| 5 |
+
```
|
| 6 |
+
1. Visit https://platform.deepseek.com
|
| 7 |
+
2. Register β Create API Key β Top up Β₯10
|
| 8 |
+
3. Open index.html
|
| 9 |
+
4. Paste the API Key at the top of the page
|
| 10 |
+
5. Start using!
|
| 11 |
+
```
|
| 12 |
+
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
## π 6 Core Features at a Glance
|
| 16 |
+
|
| 17 |
+
| Feature | Input | Output | Time |
|
| 18 |
+
|---|---|---|---|
|
| 19 |
+
| π― **Resume Optimization** | Personal Info + Job Description | Optimized Resume + Matching Analysis | 5-20s |
|
| 20 |
+
| πΌ **Interview Coach** | Position + Level + Skills | Interview Questions + Answer Strategy | 5-15s |
|
| 21 |
+
| π **Learning Path** | Current Skills + Target Role | Learning Plan + Project Suggestions | 10-20s |
|
| 22 |
+
| βοΈ **Cover Letter** | Company + Position + Achievement | Professional Cover Letter | 5-15s |
|
| 23 |
+
| πΌ **LinkedIn** | Current Profile + Target | Optimized Profile + Hashtags | 5-15s |
|
| 24 |
+
| π° **Salary Analysis** | Position + Location + Experience | Salary Range + Negotiation Strategy | 5-15s |
|
| 25 |
+
|
| 26 |
+
---
|
| 27 |
+
|
| 28 |
+
## π‘ Usage Tips
|
| 29 |
+
|
| 30 |
+
### β
Do
|
| 31 |
+
|
| 32 |
+
- **Resume**: Provide the complete job description
|
| 33 |
+
- **Interview**: List all relevant skills
|
| 34 |
+
- **Learning**: Detail your current skill level
|
| 35 |
+
- **Cover Letter**: Describe specific achievement data
|
| 36 |
+
- **LinkedIn**: Clearly define your target industry
|
| 37 |
+
- **Salary**: Fill in accurate location and experience
|
| 38 |
+
|
| 39 |
+
### β Don't
|
| 40 |
+
|
| 41 |
+
- Don't enter overly brief information
|
| 42 |
+
- Don't frequently regenerate the same content
|
| 43 |
+
- Don't save your API Key on a public computer
|
| 44 |
+
- Don't share your API Key
|
| 45 |
+
|
| 46 |
+
---
|
| 47 |
+
|
| 48 |
+
## π° Cost Reference
|
| 49 |
+
|
| 50 |
+
| Use Case | Monthly Usage | Monthly Cost |
|
| 51 |
+
|---|---|---|
|
| 52 |
+
| Intensive Job Search | 50 times | Β₯0.5-1 |
|
| 53 |
+
| Regular Optimization | 20 times | Β₯0.2-0.5 |
|
| 54 |
+
| Occasional Use | 5 times | Β₯0.05-0.1 |
|
| 55 |
+
|
| 56 |
+
**Conclusion: A Β₯10 top-up will last a long time!**
|
| 57 |
+
|
| 58 |
+
---
|
| 59 |
+
|
| 60 |
+
## π§ Quick Troubleshooting
|
| 61 |
+
|
| 62 |
+
| Issue | Solution |
|
| 63 |
+
|---|---|
|
| 64 |
+
| β API Key not configured | Enter API Key at the top of the page |
|
| 65 |
+
| β 401 Error | Check if the API Key is correct |
|
| 66 |
+
| β Insufficient balance | Log in to DeepSeek to top up |
|
| 67 |
+
| β Generation failed | Check network, try again later |
|
| 68 |
+
| β Formatting issues | Refresh the page and regenerate |
|
| 69 |
+
|
| 70 |
+
---
|
| 71 |
+
|
| 72 |
+
## π― Recommended Workflow
|
| 73 |
+
|
| 74 |
+
### Complete Job Search Process
|
| 75 |
+
|
| 76 |
+
```
|
| 77 |
+
Step 1: Learning Path
|
| 78 |
+
β
|
| 79 |
+
Assess skill gaps, start learning
|
| 80 |
+
β
|
| 81 |
+
Step 2: Resume Optimization
|
| 82 |
+
β
|
| 83 |
+
Customize resume for each position
|
| 84 |
+
β
|
| 85 |
+
Step 3: Cover Letter
|
| 86 |
+
β
|
| 87 |
+
Write a personalized cover letter
|
| 88 |
+
β
|
| 89 |
+
Step 4: LinkedIn Optimization
|
| 90 |
+
β
|
| 91 |
+
Build a professional online presence
|
| 92 |
+
β
|
| 93 |
+
Step 5: Interview Preparation
|
| 94 |
+
β
|
| 95 |
+
Prepare for interview questions and answers
|
| 96 |
+
β
|
| 97 |
+
Step 6: Salary Analysis
|
| 98 |
+
β
|
| 99 |
+
Understand the market, prepare for negotiation
|
| 100 |
+
β
|
| 101 |
+
π Successfully hired!
|
| 102 |
+
```
|
| 103 |
+
|
| 104 |
+
---
|
| 105 |
+
|
| 106 |
+
## π Quick Links
|
| 107 |
+
|
| 108 |
+
- **DeepSeek Official Website**: https://platform.deepseek.com
|
| 109 |
+
- **API Documentation**: https://platform.deepseek.com/docs
|
| 110 |
+
- **Console**: https://platform.deepseek.com/usage
|
| 111 |
+
|
| 112 |
+
---
|
| 113 |
+
|
| 114 |
+
## π Security Tips
|
| 115 |
+
|
| 116 |
+
β
API Key is stored locally only
|
| 117 |
+
β
Not uploaded to third-party servers
|
| 118 |
+
β
Code is fully open-source and auditable
|
| 119 |
+
β οΈ Change your API Key regularly
|
| 120 |
+
β οΈ Do not use on public computers
|
| 121 |
+
|
| 122 |
+
---
|
| 123 |
+
|
| 124 |
+
## π Secrets to Improving Quality
|
| 125 |
+
|
| 126 |
+
1. **The more detailed the input, the more accurate the output**
|
| 127 |
+
2. **Generate multiple times, choose the best result**
|
| 128 |
+
3. **AI generation is the foundation, manual optimization is key**
|
| 129 |
+
4. **Save satisfactory results to avoid repeated consumption**
|
| 130 |
+
5. **Adjust appropriately based on the actual situation**
|
| 131 |
+
|
| 132 |
+
---
|
| 133 |
+
|
| 134 |
+
## π± Status Indicators
|
| 135 |
+
|
| 136 |
+
- βͺ **Gray** - Not configured
|
| 137 |
+
- π **Spinning** - Generating
|
| 138 |
+
- β
**Green** - Success
|
| 139 |
+
- β **Red** - Failed
|
| 140 |
+
|
| 141 |
+
---
|
| 142 |
+
|
| 143 |
+
## π Get Started Now
|
| 144 |
+
|
| 145 |
+
1. Open `index.html`
|
| 146 |
+
2. Enter your API Key
|
| 147 |
+
3. Choose a feature
|
| 148 |
+
4. Fill in the information
|
| 149 |
+
5. Click generate
|
| 150 |
+
6. View the results
|
| 151 |
+
|
| 152 |
+
**It's that simple!**
|
| 153 |
+
|
| 154 |
+
---
|
| 155 |
+
|
| 156 |
+
*Enjoy using it!* π
|
README.md
CHANGED
|
@@ -1,11 +1,234 @@
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|
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|
|
|
|
|
|
| 1 |
---
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
| 9 |
---
|
| 10 |
|
| 11 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# π CareerForge AI - AI-Powered Career Development Platform
|
| 2 |
+
|
| 3 |
+
> A comprehensive career development tool fully driven by AI to help you optimize your resume, prepare for interviews, plan your learning path, and more.
|
| 4 |
+
|
| 5 |
+
<div align="center">
|
| 6 |
+
|
| 7 |
+

|
| 8 |
+

|
| 9 |
+

|
| 10 |
+
|
| 11 |
+
[Quick Start](#quick-start) β’ [Features](#features) β’ [User Guide](./INSTRUCTIONS.md)
|
| 12 |
+
|
| 13 |
+
</div>
|
| 14 |
+
|
| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
## β¨ Features
|
| 18 |
+
|
| 19 |
+
This is a **purely frontend, zero-backend** AI application with 6 core features:
|
| 20 |
+
|
| 21 |
+
### π― 1. Smart Resume
|
| 22 |
+
Based on the job description, AI automatically generates an optimized resume and a matching analysis.
|
| 23 |
+
|
| 24 |
+
### πΌ 2. Interview Coach
|
| 25 |
+
Generates interview questions, key points to assess, and answering strategies for a specific position.
|
| 26 |
+
|
| 27 |
+
### π 3. Learning Path
|
| 28 |
+
Based on your current skills and target position, AI plans a personalized learning path.
|
| 29 |
+
|
| 30 |
+
### βοΈ 4. Cover Letter
|
| 31 |
+
AI writes a professional, personalized cover letter.
|
| 32 |
+
|
| 33 |
+
### πΌ 5. LinkedIn Optimizer
|
| 34 |
+
Optimizes your LinkedIn headline, summary, and personal brand.
|
| 35 |
+
|
| 36 |
+
### π° 6. Salary Intelligence
|
| 37 |
+
Analyzes market salaries and provides negotiation strategies.
|
| 38 |
+
|
| 39 |
+
---
|
| 40 |
+
|
| 41 |
+
## π Quick Start
|
| 42 |
+
|
| 43 |
+
### Step 1: Get API Key
|
| 44 |
+
|
| 45 |
+
1. Visit [DeepSeek Official Website](https://platform.deepseek.com)
|
| 46 |
+
2. Register and log in
|
| 47 |
+
3. Go to the "API Keys" page and create a new key
|
| 48 |
+
4. Copy the API Key
|
| 49 |
+
5. Top up your account (Β₯10-20 recommended)
|
| 50 |
+
|
| 51 |
+
### Step 2: Open the Application
|
| 52 |
+
|
| 53 |
+
Double-click the `index.html` file to open the application in your browser.
|
| 54 |
+
|
| 55 |
+
### Step 3: Configure API
|
| 56 |
+
|
| 57 |
+
1. Find the "π DeepSeek API Key" input box at the top of the page
|
| 58 |
+
2. Paste your API Key
|
| 59 |
+
3. A β
indicates successful configuration
|
| 60 |
+
|
| 61 |
+
### Step 4: Start Using
|
| 62 |
+
|
| 63 |
+
Select any feature tab, fill in the relevant information, and click the generate button!
|
| 64 |
+
|
| 65 |
+
---
|
| 66 |
+
|
| 67 |
+
## π File Structure
|
| 68 |
+
|
| 69 |
+
```
|
| 70 |
+
CareerForge-AI/
|
| 71 |
+
βββ index.html # Main application (single-file app)
|
| 72 |
+
βββ INSTRUCTIONS.md # Detailed user guide
|
| 73 |
+
βββ README.md # This file
|
| 74 |
+
```
|
| 75 |
+
|
| 76 |
+
---
|
| 77 |
+
|
| 78 |
+
## π° Cost
|
| 79 |
+
|
| 80 |
+
- **API Cost**: Approx. Β₯0.005-0.02 / generation
|
| 81 |
+
- **Top-up Suggestion**: Β₯10 can be used for hundreds of generations
|
| 82 |
+
- **Total Cost**: Extremely low, suitable for personal use
|
| 83 |
+
|
| 84 |
+
---
|
| 85 |
+
|
| 86 |
+
## π― Use Cases
|
| 87 |
+
|
| 88 |
+
### Job Seekers
|
| 89 |
+
- Customize resumes for different positions
|
| 90 |
+
- Prepare for interview questions and answers
|
| 91 |
+
- Understand market salary trends
|
| 92 |
+
|
| 93 |
+
### Career Planning
|
| 94 |
+
- Assess skill gaps
|
| 95 |
+
- Create a learning plan
|
| 96 |
+
- Plan your career development path
|
| 97 |
+
|
| 98 |
+
### Personal Branding
|
| 99 |
+
- Optimize your LinkedIn profile
|
| 100 |
+
- Write professional cover letters
|
| 101 |
+
- Enhance your personal brand influence
|
| 102 |
+
|
| 103 |
+
---
|
| 104 |
+
|
| 105 |
+
## π Privacy & Security
|
| 106 |
+
|
| 107 |
+
- β
API Key is saved only in your browser's local storage
|
| 108 |
+
- β
Not uploaded to any third-party servers
|
| 109 |
+
- β
All requests are sent directly to DeepSeek
|
| 110 |
+
- β
Fully open-source, code is auditable
|
| 111 |
+
|
| 112 |
+
---
|
| 113 |
+
|
| 114 |
+
## π οΈ Technical Features
|
| 115 |
+
|
| 116 |
+
- **Pure Frontend Application** - No backend server required
|
| 117 |
+
- **Single-File Application** - One HTML file contains all features
|
| 118 |
+
- **AI-Driven** - All 6 features use DeepSeek AI
|
| 119 |
+
- **Responsive Design** - Supports desktop and mobile
|
| 120 |
+
- **Local Storage** - API Key is saved automatically
|
| 121 |
+
|
| 122 |
+
---
|
| 123 |
+
|
| 124 |
+
## π Detailed Documentation
|
| 125 |
+
|
| 126 |
+
Check out [INSTRUCTIONS.md](./INSTRUCTIONS.md) to learn about:
|
| 127 |
+
- Detailed usage of each feature
|
| 128 |
+
- Troubleshooting guide
|
| 129 |
+
- Best practice recommendations
|
| 130 |
+
- Advanced usage tips
|
| 131 |
+
|
| 132 |
+
---
|
| 133 |
+
|
| 134 |
+
## π Usage Tips
|
| 135 |
+
|
| 136 |
+
### Writing High-Quality Input
|
| 137 |
+
|
| 138 |
+
**Resume Optimization:**
|
| 139 |
+
- Provide the complete job description
|
| 140 |
+
- Include specific technical requirements
|
| 141 |
+
- Explain the company background information
|
| 142 |
+
|
| 143 |
+
**Interview Preparation:**
|
| 144 |
+
- List all relevant skills
|
| 145 |
+
- Include both soft and hard skills
|
| 146 |
+
- Specify the job level
|
| 147 |
+
|
| 148 |
+
**Learning Path:**
|
| 149 |
+
- List your current skills in detail
|
| 150 |
+
- Specify your skill proficiency
|
| 151 |
+
- Clearly define your learning goals
|
| 152 |
+
|
| 153 |
---
|
| 154 |
+
|
| 155 |
+
## β FAQ
|
| 156 |
+
|
| 157 |
+
### Q: How is the API Key saved?
|
| 158 |
+
A: It is saved in your browser's localStorage, only locally, and will not be uploaded.
|
| 159 |
+
|
| 160 |
+
### Q: How much does it cost?
|
| 161 |
+
A: Each generation costs about Β₯0.005-0.02. A Β₯10 top-up will last a long time.
|
| 162 |
+
|
| 163 |
+
### Q: Is an internet connection required?
|
| 164 |
+
A: Yes, an internet connection is needed to call the DeepSeek API.
|
| 165 |
+
|
| 166 |
+
### Q: Does it support other languages?
|
| 167 |
+
A: It currently supports both Chinese and English input/output.
|
| 168 |
+
|
| 169 |
+
### Q: Is my data secure?
|
| 170 |
+
A: Very secure. All data is transmitted only between your browser and DeepSeek.
|
| 171 |
+
|
| 172 |
---
|
| 173 |
|
| 174 |
+
## π§ Troubleshooting
|
| 175 |
+
|
| 176 |
+
### API Key Error
|
| 177 |
+
1. Check if the API Key is copied completely
|
| 178 |
+
2. Confirm it has been activated in the DeepSeek console
|
| 179 |
+
3. Check if your account balance is sufficient
|
| 180 |
+
|
| 181 |
+
### Generation Failed
|
| 182 |
+
1. Check your internet connection
|
| 183 |
+
2. Check the browser console for error messages (F12)
|
| 184 |
+
3. Try again later
|
| 185 |
+
|
| 186 |
+
### Content Formatting Issues
|
| 187 |
+
1. Refresh the page and regenerate
|
| 188 |
+
2. Simplify the input content
|
| 189 |
+
3. Manually adjust the format
|
| 190 |
+
|
| 191 |
+
---
|
| 192 |
+
|
| 193 |
+
## π Version History
|
| 194 |
+
|
| 195 |
+
### v2.0 (Current Version)
|
| 196 |
+
- β
All 6 features are integrated with AI
|
| 197 |
+
- β
Simplified to DeepSeek only
|
| 198 |
+
- β
Optimized Prompt templates
|
| 199 |
+
- β
Improved error handling
|
| 200 |
+
- β
Enhanced Chinese support
|
| 201 |
+
|
| 202 |
+
### v1.0
|
| 203 |
+
- Initial version
|
| 204 |
+
- Only the resume feature used AI
|
| 205 |
+
|
| 206 |
+
---
|
| 207 |
+
|
| 208 |
+
## π Get Help
|
| 209 |
+
|
| 210 |
+
- **DeepSeek Documentation**: [https://platform.deepseek.com/docs](https://platform.deepseek.com/docs)
|
| 211 |
+
- **DeepSeek Console**: [https://platform.deepseek.com/usage](https://platform.deepseek.com/usage)
|
| 212 |
+
|
| 213 |
+
---
|
| 214 |
+
|
| 215 |
+
## π License
|
| 216 |
+
|
| 217 |
+
This project is licensed under the MIT License - see the LICENSE file for details.
|
| 218 |
+
|
| 219 |
+
---
|
| 220 |
+
|
| 221 |
+
## π Get Started
|
| 222 |
+
|
| 223 |
+
Now open `index.html`, configure your API Key, and start using AI to boost your career development!
|
| 224 |
+
|
| 225 |
+
**Wishing you success in your job search and a prosperous career!** πβ¨
|
| 226 |
+
|
| 227 |
+
---
|
| 228 |
+
|
| 229 |
+
<div align="center">
|
| 230 |
+
|
| 231 |
+
Made with β€οΈ | Powered by DeepSeek AI
|
| 232 |
+
|
| 233 |
+
</div>
|
| 234 |
+
|
app.py
ADDED
|
@@ -0,0 +1,87 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import os
|
| 2 |
+
import httpx
|
| 3 |
+
from fastapi import FastAPI, Request, HTTPException
|
| 4 |
+
from fastapi.responses import HTMLResponse
|
| 5 |
+
from fastapi.staticfiles import StaticFiles
|
| 6 |
+
|
| 7 |
+
# --- Configuration ---
|
| 8 |
+
# Get the API key from Hugging Face Secrets
|
| 9 |
+
DEEPSEEK_API_KEY = os.getenv("DEEPSEEK_API_KEY")
|
| 10 |
+
DEEPSEEK_ENDPOINT = "https://api.deepseek.com/v1/chat/completions"
|
| 11 |
+
|
| 12 |
+
# --- FastAPI App Initialization ---
|
| 13 |
+
app = FastAPI()
|
| 14 |
+
|
| 15 |
+
# Create a reusable HTTP client
|
| 16 |
+
client = httpx.AsyncClient()
|
| 17 |
+
|
| 18 |
+
# --- API Endpoint ---
|
| 19 |
+
@app.post("/call-deepseek")
|
| 20 |
+
async def proxy_deepseek(request: Request):
|
| 21 |
+
"""
|
| 22 |
+
This endpoint receives the request from our frontend (index.html),
|
| 23 |
+
adds the secret API key, and forwards it to the DeepSeek API.
|
| 24 |
+
"""
|
| 25 |
+
# Check if the API key is configured in HF Secrets
|
| 26 |
+
if not DEEPSEEK_API_KEY:
|
| 27 |
+
raise HTTPException(
|
| 28 |
+
status_code=500,
|
| 29 |
+
detail="DEEPSEEK_API_KEY is not set on the server."
|
| 30 |
+
)
|
| 31 |
+
|
| 32 |
+
try:
|
| 33 |
+
# Get the original JSON body from the frontend
|
| 34 |
+
body = await request.json()
|
| 35 |
+
|
| 36 |
+
# Prepare the authorization headers for DeepSeek
|
| 37 |
+
headers = {
|
| 38 |
+
"Content-Type": "application/json",
|
| 39 |
+
"Authorization": f"Bearer {DEEPSEEK_API_KEY}"
|
| 40 |
+
}
|
| 41 |
+
|
| 42 |
+
# Make the asynchronous request to DeepSeek
|
| 43 |
+
response = await client.post(
|
| 44 |
+
DEEPSEEK_ENDPOINT,
|
| 45 |
+
json=body, # Forward the body from the frontend
|
| 46 |
+
headers=headers,
|
| 47 |
+
timeout=30.0 # Set a 30-second timeout
|
| 48 |
+
)
|
| 49 |
+
|
| 50 |
+
# Check if DeepSeek returned an error
|
| 51 |
+
response.raise_for_status()
|
| 52 |
+
|
| 53 |
+
# Return DeepSeek's successful response directly to the frontend
|
| 54 |
+
return response.json()
|
| 55 |
+
|
| 56 |
+
except httpx.HTTPStatusError as e:
|
| 57 |
+
# Handle errors from the DeepSeek API
|
| 58 |
+
print(f"Error from DeepSeek API: {e.response.text}")
|
| 59 |
+
raise HTTPException(
|
| 60 |
+
status_code=e.response.status_code,
|
| 61 |
+
detail=e.response.text
|
| 62 |
+
)
|
| 63 |
+
except Exception as e:
|
| 64 |
+
# Handle any other unexpected errors
|
| 65 |
+
print(f"Internal server error: {str(e)}")
|
| 66 |
+
raise HTTPException(
|
| 67 |
+
status_code=500,
|
| 68 |
+
detail=f"Internal server error: {str(e)}"
|
| 69 |
+
)
|
| 70 |
+
|
| 71 |
+
# --- Static File Serving ---
|
| 72 |
+
# Mount the 'static' directory to serve index.html and other assets
|
| 73 |
+
app.mount("/static", StaticFiles(directory="static"), name="static")
|
| 74 |
+
|
| 75 |
+
@app.get("/")
|
| 76 |
+
async def read_root():
|
| 77 |
+
"""
|
| 78 |
+
Serves the main index.html file from the 'static' directory.
|
| 79 |
+
"""
|
| 80 |
+
try:
|
| 81 |
+
with open("static/index.html") as f:
|
| 82 |
+
return HTMLResponse(content=f.read(), status_code=200)
|
| 83 |
+
except FileNotFoundError:
|
| 84 |
+
return HTMLResponse(
|
| 85 |
+
content="<h1>Error: index.html not found</h1><p>Ensure index.html is in a 'static' folder.</p>",
|
| 86 |
+
status_code=404
|
| 87 |
+
)
|
index.html
ADDED
|
@@ -0,0 +1,1251 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
<!DOCTYPE html>
|
| 2 |
+
<html lang="en">
|
| 3 |
+
<head>
|
| 4 |
+
<meta charset="UTF-8">
|
| 5 |
+
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 6 |
+
<title>CareerForge AI - Complete Career Platform</title>
|
| 7 |
+
<script src="https://cdnjs.cloudflare.com/ajax/libs/html2pdf.js/0.10.1/html2pdf.bundle.min.js"></script>
|
| 8 |
+
<style>
|
| 9 |
+
/* Previous CSS styles remain the same */
|
| 10 |
+
:root {
|
| 11 |
+
--primary: #2563eb;
|
| 12 |
+
--primary-dark: #1d4ed8;
|
| 13 |
+
--secondary: #64748b;
|
| 14 |
+
--success: #10b981;
|
| 15 |
+
--warning: #f59e0b;
|
| 16 |
+
--error: #ef4444;
|
| 17 |
+
--background: #f8fafc;
|
| 18 |
+
--surface: #ffffff;
|
| 19 |
+
--text: #1e293b;
|
| 20 |
+
--text-light: #64748b;
|
| 21 |
+
}
|
| 22 |
+
|
| 23 |
+
* {
|
| 24 |
+
margin: 0;
|
| 25 |
+
padding: 0;
|
| 26 |
+
box-sizing: border-box;
|
| 27 |
+
}
|
| 28 |
+
|
| 29 |
+
body {
|
| 30 |
+
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
|
| 31 |
+
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
| 32 |
+
min-height: 100vh;
|
| 33 |
+
padding: 20px;
|
| 34 |
+
color: var(--text);
|
| 35 |
+
}
|
| 36 |
+
|
| 37 |
+
.container {
|
| 38 |
+
max-width: 1200px;
|
| 39 |
+
margin: 0 auto;
|
| 40 |
+
background: var(--surface);
|
| 41 |
+
border-radius: 20px;
|
| 42 |
+
box-shadow: 0 20px 40px rgba(0,0,0,0.1);
|
| 43 |
+
overflow: hidden;
|
| 44 |
+
}
|
| 45 |
+
|
| 46 |
+
.header {
|
| 47 |
+
background: linear-gradient(135deg, var(--primary), var(--primary-dark));
|
| 48 |
+
color: white;
|
| 49 |
+
padding: 40px;
|
| 50 |
+
text-align: center;
|
| 51 |
+
}
|
| 52 |
+
|
| 53 |
+
.header h1 {
|
| 54 |
+
font-size: 2.5em;
|
| 55 |
+
margin-bottom: 10px;
|
| 56 |
+
font-weight: 700;
|
| 57 |
+
}
|
| 58 |
+
|
| 59 |
+
.tabs {
|
| 60 |
+
display: flex;
|
| 61 |
+
background: var(--background);
|
| 62 |
+
border-bottom: 1px solid #e2e8f0;
|
| 63 |
+
overflow-x: auto;
|
| 64 |
+
}
|
| 65 |
+
|
| 66 |
+
.tab-button {
|
| 67 |
+
padding: 20px 30px;
|
| 68 |
+
background: none;
|
| 69 |
+
border: none;
|
| 70 |
+
font-size: 1.1em;
|
| 71 |
+
font-weight: 600;
|
| 72 |
+
color: var(--text-light);
|
| 73 |
+
cursor: pointer;
|
| 74 |
+
transition: all 0.3s ease;
|
| 75 |
+
white-space: nowrap;
|
| 76 |
+
border-bottom: 3px solid transparent;
|
| 77 |
+
}
|
| 78 |
+
|
| 79 |
+
.tab-button:hover {
|
| 80 |
+
color: var(--primary);
|
| 81 |
+
background: rgba(37, 99, 235, 0.05);
|
| 82 |
+
}
|
| 83 |
+
|
| 84 |
+
.tab-button.active {
|
| 85 |
+
color: var(--primary);
|
| 86 |
+
border-bottom-color: var(--primary);
|
| 87 |
+
background: white;
|
| 88 |
+
}
|
| 89 |
+
|
| 90 |
+
.tab-content {
|
| 91 |
+
display: none;
|
| 92 |
+
padding: 40px;
|
| 93 |
+
min-height: 600px;
|
| 94 |
+
}
|
| 95 |
+
|
| 96 |
+
.tab-content.active {
|
| 97 |
+
display: block;
|
| 98 |
+
animation: fadeIn 0.5s ease;
|
| 99 |
+
}
|
| 100 |
+
|
| 101 |
+
@keyframes fadeIn {
|
| 102 |
+
from { opacity: 0; transform: translateY(10px); }
|
| 103 |
+
to { opacity: 1; transform: translateY(0); }
|
| 104 |
+
}
|
| 105 |
+
|
| 106 |
+
.form-grid {
|
| 107 |
+
display: grid;
|
| 108 |
+
grid-template-columns: 1fr 1fr;
|
| 109 |
+
gap: 30px;
|
| 110 |
+
margin-bottom: 30px;
|
| 111 |
+
}
|
| 112 |
+
|
| 113 |
+
.form-section {
|
| 114 |
+
background: var(--surface);
|
| 115 |
+
padding: 30px;
|
| 116 |
+
border-radius: 15px;
|
| 117 |
+
border: 1px solid #e2e8f0;
|
| 118 |
+
}
|
| 119 |
+
|
| 120 |
+
.form-section h3 {
|
| 121 |
+
margin-bottom: 20px;
|
| 122 |
+
color: var(--primary);
|
| 123 |
+
font-size: 1.3em;
|
| 124 |
+
}
|
| 125 |
+
|
| 126 |
+
.form-group {
|
| 127 |
+
margin-bottom: 20px;
|
| 128 |
+
}
|
| 129 |
+
|
| 130 |
+
label {
|
| 131 |
+
display: block;
|
| 132 |
+
margin-bottom: 8px;
|
| 133 |
+
font-weight: 600;
|
| 134 |
+
color: var(--text);
|
| 135 |
+
}
|
| 136 |
+
|
| 137 |
+
input, select, textarea {
|
| 138 |
+
width: 100%;
|
| 139 |
+
padding: 12px 16px;
|
| 140 |
+
border: 2px solid #e2e8f0;
|
| 141 |
+
border-radius: 10px;
|
| 142 |
+
font-size: 1em;
|
| 143 |
+
transition: border-color 0.3s ease;
|
| 144 |
+
}
|
| 145 |
+
|
| 146 |
+
input:focus, select:focus, textarea:focus {
|
| 147 |
+
outline: none;
|
| 148 |
+
border-color: var(--primary);
|
| 149 |
+
}
|
| 150 |
+
|
| 151 |
+
textarea {
|
| 152 |
+
resize: vertical;
|
| 153 |
+
min-height: 100px;
|
| 154 |
+
}
|
| 155 |
+
|
| 156 |
+
.btn {
|
| 157 |
+
padding: 15px 30px;
|
| 158 |
+
border: none;
|
| 159 |
+
border-radius: 10px;
|
| 160 |
+
font-size: 1.1em;
|
| 161 |
+
font-weight: 600;
|
| 162 |
+
cursor: pointer;
|
| 163 |
+
transition: all 0.3s ease;
|
| 164 |
+
display: inline-flex;
|
| 165 |
+
align-items: center;
|
| 166 |
+
gap: 10px;
|
| 167 |
+
}
|
| 168 |
+
|
| 169 |
+
.btn-primary {
|
| 170 |
+
background: var(--primary);
|
| 171 |
+
color: white;
|
| 172 |
+
}
|
| 173 |
+
|
| 174 |
+
.btn-primary:hover {
|
| 175 |
+
background: var(--primary-dark);
|
| 176 |
+
transform: translateY(-2px);
|
| 177 |
+
}
|
| 178 |
+
|
| 179 |
+
.output-grid {
|
| 180 |
+
display: grid;
|
| 181 |
+
grid-template-columns: 1fr 1fr;
|
| 182 |
+
gap: 30px;
|
| 183 |
+
margin-top: 30px;
|
| 184 |
+
}
|
| 185 |
+
|
| 186 |
+
.output-box {
|
| 187 |
+
background: var(--surface);
|
| 188 |
+
border: 1px solid #e2e8f0;
|
| 189 |
+
border-radius: 15px;
|
| 190 |
+
padding: 25px;
|
| 191 |
+
min-height: 400px;
|
| 192 |
+
max-height: 600px;
|
| 193 |
+
overflow-y: auto;
|
| 194 |
+
}
|
| 195 |
+
|
| 196 |
+
.output-box h3 {
|
| 197 |
+
margin-bottom: 15px;
|
| 198 |
+
color: var(--primary);
|
| 199 |
+
display: flex;
|
| 200 |
+
align-items: center;
|
| 201 |
+
gap: 10px;
|
| 202 |
+
}
|
| 203 |
+
|
| 204 |
+
.resume-content {
|
| 205 |
+
line-height: 1.6;
|
| 206 |
+
}
|
| 207 |
+
|
| 208 |
+
.resume-content h1 {
|
| 209 |
+
color: var(--primary);
|
| 210 |
+
border-bottom: 3px solid var(--primary);
|
| 211 |
+
padding-bottom: 10px;
|
| 212 |
+
margin-bottom: 20px;
|
| 213 |
+
}
|
| 214 |
+
|
| 215 |
+
.match-score {
|
| 216 |
+
font-size: 2em;
|
| 217 |
+
font-weight: bold;
|
| 218 |
+
text-align: center;
|
| 219 |
+
margin: 20px 0;
|
| 220 |
+
padding: 20px;
|
| 221 |
+
border-radius: 10px;
|
| 222 |
+
background: linear-gradient(135deg, var(--success), #34d399);
|
| 223 |
+
color: white;
|
| 224 |
+
}
|
| 225 |
+
|
| 226 |
+
.action-buttons {
|
| 227 |
+
display: flex;
|
| 228 |
+
gap: 15px;
|
| 229 |
+
margin-top: 20px;
|
| 230 |
+
flex-wrap: wrap;
|
| 231 |
+
}
|
| 232 |
+
|
| 233 |
+
.question-item {
|
| 234 |
+
background: #f8fafc;
|
| 235 |
+
padding: 15px;
|
| 236 |
+
margin: 10px 0;
|
| 237 |
+
border-radius: 10px;
|
| 238 |
+
border-left: 4px solid var(--primary);
|
| 239 |
+
}
|
| 240 |
+
|
| 241 |
+
.skill-category {
|
| 242 |
+
margin: 20px 0;
|
| 243 |
+
padding: 15px;
|
| 244 |
+
background: #f0f9ff;
|
| 245 |
+
border-radius: 10px;
|
| 246 |
+
}
|
| 247 |
+
|
| 248 |
+
.salary-breakdown {
|
| 249 |
+
display: grid;
|
| 250 |
+
grid-template-columns: repeat(3, 1fr);
|
| 251 |
+
gap: 15px;
|
| 252 |
+
margin: 20px 0;
|
| 253 |
+
}
|
| 254 |
+
|
| 255 |
+
.salary-item {
|
| 256 |
+
text-align: center;
|
| 257 |
+
padding: 15px;
|
| 258 |
+
background: #f8fafc;
|
| 259 |
+
border-radius: 10px;
|
| 260 |
+
}
|
| 261 |
+
|
| 262 |
+
.salary-value {
|
| 263 |
+
font-size: 1.5em;
|
| 264 |
+
font-weight: bold;
|
| 265 |
+
color: var(--primary);
|
| 266 |
+
}
|
| 267 |
+
|
| 268 |
+
@media (max-width: 768px) {
|
| 269 |
+
.form-grid, .output-grid {
|
| 270 |
+
grid-template-columns: 1fr;
|
| 271 |
+
}
|
| 272 |
+
.salary-breakdown {
|
| 273 |
+
grid-template-columns: 1fr;
|
| 274 |
+
}
|
| 275 |
+
}
|
| 276 |
+
</style>
|
| 277 |
+
</head>
|
| 278 |
+
<body>
|
| 279 |
+
<div class="container">
|
| 280 |
+
<div class="header">
|
| 281 |
+
<h1>π CareerForge AI</h1>
|
| 282 |
+
<p>Your All-in-One Intelligent Career Platform</p>
|
| 283 |
+
|
| 284 |
+
<!-- API Configuration -->
|
| 285 |
+
<div style="margin-top: 25px; background: rgba(255,255,255,0.1); padding: 15px; border-radius: 10px; max-width: 700px; margin-left: auto; margin-right: auto;">
|
| 286 |
+
<div style="font-size: 0.95em; opacity: 0.95; line-height: 1.5; text-align: center;">
|
| 287 |
+
π‘ This platform is powered by AI. All features are now active.
|
| 288 |
+
<span id="api-status" style="font-size: 1.2em; margin-left: 10px;">βͺ</span>
|
| 289 |
+
</div>
|
| 290 |
+
</div>
|
| 291 |
+
</div>
|
| 292 |
+
|
| 293 |
+
<div class="tabs">
|
| 294 |
+
<button class="tab-button active" onclick="openTab('resume-tab')">π― Smart Resume</button>
|
| 295 |
+
<button class="tab-button" onclick="openTab('interview-tab')">πΌ Interview Coach</button>
|
| 296 |
+
<button class="tab-button" onclick="openTab('skills-tab')">π Learning Path</button>
|
| 297 |
+
<button class="tab-button" onclick="openTab('coverletter-tab')">βοΈ Cover Letters</button>
|
| 298 |
+
<button class="tab-button" onclick="openTab('linkedin-tab')">πΌ LinkedIn</button>
|
| 299 |
+
<button class="tab-button" onclick="openTab('salary-tab')">π° Salary Intel</button>
|
| 300 |
+
</div>
|
| 301 |
+
|
| 302 |
+
<!-- Resume Optimizer Tab -->
|
| 303 |
+
<div id="resume-tab" class="tab-content active">
|
| 304 |
+
<div class="form-grid">
|
| 305 |
+
<div class="form-section">
|
| 306 |
+
<h3>π€ Your Profile</h3>
|
| 307 |
+
<div class="form-group">
|
| 308 |
+
<label for="name">Full Name</label>
|
| 309 |
+
<input type="text" id="name" placeholder="John Doe">
|
| 310 |
+
</div>
|
| 311 |
+
<div class="form-group">
|
| 312 |
+
<label for="current-role">Current Role</label>
|
| 313 |
+
<input type="text" id="current-role" placeholder="Software Developer">
|
| 314 |
+
</div>
|
| 315 |
+
<div class="form-group">
|
| 316 |
+
<label for="experience">Years of Experience</label>
|
| 317 |
+
<input type="number" id="experience" placeholder="5">
|
| 318 |
+
</div>
|
| 319 |
+
<div class="form-group">
|
| 320 |
+
<label for="skills">Skills (comma separated)</label>
|
| 321 |
+
<textarea id="skills" placeholder="Python, Project Management, Data Analysis..."></textarea>
|
| 322 |
+
</div>
|
| 323 |
+
</div>
|
| 324 |
+
|
| 325 |
+
<div class="form-section">
|
| 326 |
+
<h3>π― Target Opportunity</h3>
|
| 327 |
+
<div class="form-group">
|
| 328 |
+
<label for="job-title">Desired Job Title</label>
|
| 329 |
+
<input type="text" id="job-title" placeholder="Senior Software Engineer">
|
| 330 |
+
</div>
|
| 331 |
+
<div class="form-group">
|
| 332 |
+
<label for="job-description">Job Description</label>
|
| 333 |
+
<textarea id="job-description" placeholder="Paste the job description here..."></textarea>
|
| 334 |
+
</div>
|
| 335 |
+
<div class="form-group">
|
| 336 |
+
<label for="company-name">Company Name</label>
|
| 337 |
+
<input type="text" id="company-name" placeholder="Tech Company Inc.">
|
| 338 |
+
</div>
|
| 339 |
+
</div>
|
| 340 |
+
</div>
|
| 341 |
+
|
| 342 |
+
<button class="btn btn-primary" onclick="generateResume()">π Generate Optimized Resume</button>
|
| 343 |
+
|
| 344 |
+
<div class="output-grid">
|
| 345 |
+
<div class="output-box">
|
| 346 |
+
<h3>π AI-Optimized Resume</h3>
|
| 347 |
+
<div id="resume-output" class="resume-content"></div>
|
| 348 |
+
</div>
|
| 349 |
+
<div class="output-box">
|
| 350 |
+
<h3>π Matching Analysis</h3>
|
| 351 |
+
<div id="analysis-output"></div>
|
| 352 |
+
</div>
|
| 353 |
+
</div>
|
| 354 |
+
|
| 355 |
+
<div class="action-buttons">
|
| 356 |
+
<button class="btn btn-success" onclick="exportToPDF()">π₯ Export as PDF</button>
|
| 357 |
+
<button class="btn btn-secondary" onclick="copyToClipboard('resume-output')">π Copy Text</button>
|
| 358 |
+
</div>
|
| 359 |
+
</div>
|
| 360 |
+
|
| 361 |
+
<!-- Interview Coach Tab -->
|
| 362 |
+
<div id="interview-tab" class="tab-content">
|
| 363 |
+
<div class="form-grid">
|
| 364 |
+
<div class="form-section">
|
| 365 |
+
<h3>π― Interview Setup</h3>
|
| 366 |
+
<div class="form-group">
|
| 367 |
+
<label for="interview-role">Target Role</label>
|
| 368 |
+
<input type="text" id="interview-role" placeholder="Senior Developer">
|
| 369 |
+
</div>
|
| 370 |
+
<div class="form-group">
|
| 371 |
+
<label for="interview-level">Experience Level</label>
|
| 372 |
+
<select id="interview-level">
|
| 373 |
+
<option value="entry">Entry Level</option>
|
| 374 |
+
<option value="mid">Mid Level</option>
|
| 375 |
+
<option value="senior">Senior Level</option>
|
| 376 |
+
<option value="lead">Lead/Manager</option>
|
| 377 |
+
</select>
|
| 378 |
+
</div>
|
| 379 |
+
<div class="form-group">
|
| 380 |
+
<label for="interview-skills">Key Skills to Test</label>
|
| 381 |
+
<textarea id="interview-skills" placeholder="Python, System Design, Leadership..."></textarea>
|
| 382 |
+
</div>
|
| 383 |
+
<button class="btn btn-primary" onclick="generateInterviewQuestions()">π― Generate Questions</button>
|
| 384 |
+
</div>
|
| 385 |
+
|
| 386 |
+
<div class="form-section">
|
| 387 |
+
<h3>π‘ Interview Results</h3>
|
| 388 |
+
<div id="interview-output"></div>
|
| 389 |
+
</div>
|
| 390 |
+
</div>
|
| 391 |
+
</div>
|
| 392 |
+
|
| 393 |
+
<!-- Learning Path Tab -->
|
| 394 |
+
<div id="skills-tab" class="tab-content">
|
| 395 |
+
<div class="form-grid">
|
| 396 |
+
<div class="form-section">
|
| 397 |
+
<h3>π Skill Assessment</h3>
|
| 398 |
+
<div class="form-group">
|
| 399 |
+
<label for="current-skills">Current Skills</label>
|
| 400 |
+
<textarea id="current-skills" placeholder="List your current skills..."></textarea>
|
| 401 |
+
</div>
|
| 402 |
+
<div class="form-group">
|
| 403 |
+
<label for="target-role-learning">Target Role</label>
|
| 404 |
+
<input type="text" id="target-role-learning" placeholder="AI Engineer">
|
| 405 |
+
</div>
|
| 406 |
+
<div class="form-group">
|
| 407 |
+
<label for="timeline">Learning Timeline</label>
|
| 408 |
+
<select id="timeline">
|
| 409 |
+
<option value="3">3 months</option>
|
| 410 |
+
<option value="6">6 months</option>
|
| 411 |
+
<option value="12">1 year</option>
|
| 412 |
+
</select>
|
| 413 |
+
</div>
|
| 414 |
+
<button class="btn btn-primary" onclick="generateLearningPath()">π οΈ Create Learning Path</button>
|
| 415 |
+
</div>
|
| 416 |
+
|
| 417 |
+
<div class="form-section">
|
| 418 |
+
<h3>π― Personalized Roadmap</h3>
|
| 419 |
+
<div id="learning-output"></div>
|
| 420 |
+
</div>
|
| 421 |
+
</div>
|
| 422 |
+
</div>
|
| 423 |
+
|
| 424 |
+
<!-- Cover Letter Tab -->
|
| 425 |
+
<div id="coverletter-tab" class="tab-content">
|
| 426 |
+
<div class="form-grid">
|
| 427 |
+
<div class="form-section">
|
| 428 |
+
<h3>βοΈ Letter Details</h3>
|
| 429 |
+
<div class="form-group">
|
| 430 |
+
<label for="cl-company">Company Name</label>
|
| 431 |
+
<input type="text" id="cl-company" placeholder="Tech Innovations Inc.">
|
| 432 |
+
</div>
|
| 433 |
+
<div class="form-group">
|
| 434 |
+
<label for="cl-role">Job Title</label>
|
| 435 |
+
<input type="text" id="cl-role" placeholder="Senior Developer">
|
| 436 |
+
</div>
|
| 437 |
+
<div class="form-group">
|
| 438 |
+
<label for="cl-highlight">Key Achievement to Highlight</label>
|
| 439 |
+
<textarea id="cl-highlight" placeholder="Describe your most relevant achievement..."></textarea>
|
| 440 |
+
</div>
|
| 441 |
+
<div class="form-group">
|
| 442 |
+
<label for="cl-tone">Writing Tone</label>
|
| 443 |
+
<select id="cl-tone">
|
| 444 |
+
<option value="professional">Professional</option>
|
| 445 |
+
<option value="enthusiastic">Enthusiastic</option>
|
| 446 |
+
<option value="formal">Formal</option>
|
| 447 |
+
</select>
|
| 448 |
+
</div>
|
| 449 |
+
<button class="btn btn-primary" onclick="generateCoverLetter()">β¨ Generate Cover Letter</button>
|
| 450 |
+
</div>
|
| 451 |
+
|
| 452 |
+
<div class="form-section">
|
| 453 |
+
<h3>π Custom Cover Letter</h3>
|
| 454 |
+
<div id="coverletter-output"></div>
|
| 455 |
+
</div>
|
| 456 |
+
</div>
|
| 457 |
+
</div>
|
| 458 |
+
|
| 459 |
+
<!-- LinkedIn Optimizer Tab -->
|
| 460 |
+
<div id="linkedin-tab" class="tab-content">
|
| 461 |
+
<div class="form-grid">
|
| 462 |
+
<div class="form-section">
|
| 463 |
+
<h3>πΌ Profile Information</h3>
|
| 464 |
+
<div class="form-group">
|
| 465 |
+
<label for="li-headline">Current Headline</label>
|
| 466 |
+
<input type="text" id="li-headline" placeholder="Software Developer at Current Company">
|
| 467 |
+
</div>
|
| 468 |
+
<div class="form-group">
|
| 469 |
+
<label for="li-about">Current About Section</label>
|
| 470 |
+
<textarea id="li-about" placeholder="Your current LinkedIn summary..."></textarea>
|
| 471 |
+
</div>
|
| 472 |
+
<div class="form-group">
|
| 473 |
+
<label for="li-target">Target Industry/Roles</label>
|
| 474 |
+
<input type="text" id="li-target" placeholder="AI Engineering, Tech Leadership">
|
| 475 |
+
</div>
|
| 476 |
+
<button class="btn btn-primary" onclick="optimizeLinkedIn()">π Optimize Profile</button>
|
| 477 |
+
</div>
|
| 478 |
+
|
| 479 |
+
<div class="form-section">
|
| 480 |
+
<h3>π― Optimized Results</h3>
|
| 481 |
+
<div id="linkedin-output"></div>
|
| 482 |
+
</div>
|
| 483 |
+
</div>
|
| 484 |
+
</div>
|
| 485 |
+
|
| 486 |
+
<!-- Salary Intelligence Tab -->
|
| 487 |
+
<div id="salary-tab" class="tab-content">
|
| 488 |
+
<div class="form-grid">
|
| 489 |
+
<div class="form-section">
|
| 490 |
+
<h3>π° Salary Research</h3>
|
| 491 |
+
<div class="form-group">
|
| 492 |
+
<label for="salary-role">Job Title</label>
|
| 493 |
+
<input type="text" id="salary-role" placeholder="Senior Software Engineer">
|
| 494 |
+
</div>
|
| 495 |
+
<div class="form-group">
|
| 496 |
+
<label for="salary-location">Location</label>
|
| 497 |
+
<input type="text" id="salary-location" placeholder="San Francisco, CA or Remote">
|
| 498 |
+
</div>
|
| 499 |
+
<div class="form-group">
|
| 500 |
+
<label for="salary-experience">Years of Experience</label>
|
| 501 |
+
<input type="number" id="salary-experience" placeholder="5">
|
| 502 |
+
</div>
|
| 503 |
+
<div class="form-group">
|
| 504 |
+
<label for="salary-company">Company Size</label>
|
| 505 |
+
<select id="salary-company">
|
| 506 |
+
<option value="startup">Startup (1-50)</option>
|
| 507 |
+
<option value="small">Small (51-200)</option>
|
| 508 |
+
<option value="medium">Medium (201-1000)</option>
|
| 509 |
+
<option value="large">Large (1001-5000)</option>
|
| 510 |
+
<option value="enterprise">Enterprise (5000+)</option>
|
| 511 |
+
</select>
|
| 512 |
+
</div>
|
| 513 |
+
<button class="btn btn-primary" onclick="analyzeSalary()">π‘ Get Salary Insights</button>
|
| 514 |
+
</div>
|
| 515 |
+
|
| 516 |
+
<div class="form-section">
|
| 517 |
+
<h3>π Market Intelligence</h3>
|
| 518 |
+
<div id="salary-output"></div>
|
| 519 |
+
</div>
|
| 520 |
+
</div>
|
| 521 |
+
</div>
|
| 522 |
+
</div>
|
| 523 |
+
|
| 524 |
+
<script>
|
| 525 |
+
// Career Database - Real data for all functionalities
|
| 526 |
+
const careerDatabase = {
|
| 527 |
+
skillsRoadmaps: {
|
| 528 |
+
'AI Engineer': {
|
| 529 |
+
foundation: ['Python Programming', 'Linear Algebra', 'Statistics & Probability', 'Data Structures'],
|
| 530 |
+
intermediate: ['Machine Learning Fundamentals', 'Deep Learning', 'Data Preprocessing', 'Model Evaluation'],
|
| 531 |
+
advanced: ['Neural Networks', 'Natural Language Processing', 'Computer Vision', 'Reinforcement Learning'],
|
| 532 |
+
tools: ['TensorFlow', 'PyTorch', 'scikit-learn', 'Keras', 'OpenCV'],
|
| 533 |
+
projects: ['Sentiment Analysis Model', 'Image Classification System', 'Recommendation Engine']
|
| 534 |
+
},
|
| 535 |
+
'Full Stack Developer': {
|
| 536 |
+
foundation: ['HTML/CSS/JavaScript', 'Git Version Control', 'Basic Algorithms', 'Responsive Design'],
|
| 537 |
+
intermediate: ['React/Vue.js', 'Node.js/Express', 'Database Design', 'RESTful APIs'],
|
| 538 |
+
advanced: ['System Design', 'DevOps & CI/CD', 'Cloud Services (AWS/Azure)', 'Microservices'],
|
| 539 |
+
tools: ['Docker', 'MongoDB/PostgreSQL', 'AWS Services', 'Jenkins'],
|
| 540 |
+
projects: ['E-commerce Platform', 'Social Media App', 'Real-time Chat Application']
|
| 541 |
+
},
|
| 542 |
+
'Data Scientist': {
|
| 543 |
+
foundation: ['Python/R Programming', 'SQL Databases', 'Statistics', 'Data Visualization'],
|
| 544 |
+
intermediate: ['Machine Learning', 'Experimental Design', 'Feature Engineering', 'Data Wrangling'],
|
| 545 |
+
advanced: ['Big Data Technologies', 'Advanced ML Models', 'Business Intelligence', 'MLOps'],
|
| 546 |
+
tools: ['Pandas/NumPy', 'Tableau/PowerBI', 'Apache Spark', 'Jupyter Notebooks'],
|
| 547 |
+
projects: ['Predictive Analytics Model', 'Customer Segmentation', 'Sales Forecasting']
|
| 548 |
+
},
|
| 549 |
+
'Product Manager': {
|
| 550 |
+
foundation: ['Market Research', 'User Stories', 'Agile Methodology', 'Basic Analytics'],
|
| 551 |
+
intermediate: ['Product Strategy', 'Roadmap Planning', 'Stakeholder Management', 'A/B Testing'],
|
| 552 |
+
advanced: ['Go-to-Market Strategy', 'Product Metrics', 'Team Leadership', 'Business Case Development'],
|
| 553 |
+
tools: ['Jira/Asana', 'Figma', 'Google Analytics', 'SQL for PMs'],
|
| 554 |
+
projects: ['Product Launch Plan', 'Feature Prioritization Framework', 'User Research Report']
|
| 555 |
+
}
|
| 556 |
+
},
|
| 557 |
+
|
| 558 |
+
interviewQuestions: {
|
| 559 |
+
technical: {
|
| 560 |
+
entry: [
|
| 561 |
+
"Explain the difference between let, const, and var in JavaScript",
|
| 562 |
+
"What is a REST API and how does it work?",
|
| 563 |
+
"Describe your experience with version control systems like Git",
|
| 564 |
+
"How would you approach debugging a software issue?"
|
| 565 |
+
],
|
| 566 |
+
mid: [
|
| 567 |
+
"Explain system design principles for a scalable application",
|
| 568 |
+
"How do you ensure code quality and maintainability?",
|
| 569 |
+
"Describe your experience with database optimization",
|
| 570 |
+
"What's your approach to testing and test-driven development?"
|
| 571 |
+
],
|
| 572 |
+
senior: [
|
| 573 |
+
"Design a system that handles 1 million concurrent users",
|
| 574 |
+
"How do you mentor junior developers and improve team processes?",
|
| 575 |
+
"Explain your strategy for technical debt management",
|
| 576 |
+
"Describe a complex technical challenge you solved and your approach"
|
| 577 |
+
],
|
| 578 |
+
lead: [
|
| 579 |
+
"How do you align technical strategy with business goals?",
|
| 580 |
+
"Describe your experience building and leading engineering teams",
|
| 581 |
+
"What's your approach to incident management and post-mortems?",
|
| 582 |
+
"How do you handle technical disagreements within your team?"
|
| 583 |
+
]
|
| 584 |
+
},
|
| 585 |
+
behavioral: [
|
| 586 |
+
"Tell me about a time you faced a significant challenge and how you overcame it",
|
| 587 |
+
"Describe a situation where you had to work with a difficult team member",
|
| 588 |
+
"How do you handle tight deadlines and competing priorities?",
|
| 589 |
+
"Share an example of a project failure and what you learned from it"
|
| 590 |
+
]
|
| 591 |
+
},
|
| 592 |
+
|
| 593 |
+
salaryData: {
|
| 594 |
+
'Software Engineer': { base: 120000, bonus: 0.15, equity: 0.10 },
|
| 595 |
+
'Senior Software Engineer': { base: 150000, bonus: 0.20, equity: 0.15 },
|
| 596 |
+
'Data Scientist': { base: 130000, bonus: 0.15, equity: 0.12 },
|
| 597 |
+
'AI Engineer': { base: 160000, bonus: 0.20, equity: 0.18 },
|
| 598 |
+
'Product Manager': { base: 140000, bonus: 0.25, equity: 0.15 },
|
| 599 |
+
'Full Stack Developer': { base: 125000, bonus: 0.15, equity: 0.10 }
|
| 600 |
+
},
|
| 601 |
+
|
| 602 |
+
locationMultipliers: {
|
| 603 |
+
'San Francisco, CA': 1.4,
|
| 604 |
+
'New York, NY': 1.35,
|
| 605 |
+
'Seattle, WA': 1.25,
|
| 606 |
+
'Boston, MA': 1.2,
|
| 607 |
+
'Austin, TX': 1.1,
|
| 608 |
+
'Remote': 0.95,
|
| 609 |
+
'Default': 1.0
|
| 610 |
+
},
|
| 611 |
+
|
| 612 |
+
companyMultipliers: {
|
| 613 |
+
'startup': { base: 0.9, equity: 2.0 },
|
| 614 |
+
'small': { base: 1.0, equity: 1.5 },
|
| 615 |
+
'medium': { base: 1.1, equity: 1.2 },
|
| 616 |
+
'large': { base: 1.2, equity: 1.0 },
|
| 617 |
+
'enterprise': { base: 1.3, equity: 0.8 }
|
| 618 |
+
}
|
| 619 |
+
};
|
| 620 |
+
|
| 621 |
+
// Tab navigation
|
| 622 |
+
function openTab(tabName) {
|
| 623 |
+
const tabContents = document.getElementsByClassName('tab-content');
|
| 624 |
+
const tabButtons = document.getElementsByClassName('tab-button');
|
| 625 |
+
|
| 626 |
+
for (let i = 0; i < tabContents.length; i++) {
|
| 627 |
+
tabContents[i].classList.remove('active');
|
| 628 |
+
tabButtons[i].classList.remove('active');
|
| 629 |
+
}
|
| 630 |
+
|
| 631 |
+
document.getElementById(tabName).classList.add('active');
|
| 632 |
+
event.currentTarget.classList.add('active');
|
| 633 |
+
}
|
| 634 |
+
|
| 635 |
+
// 1. RESUME OPTIMIZER - ACTUAL FUNCTIONALITY
|
| 636 |
+
async function generateResume() {
|
| 637 |
+
const name = document.getElementById('name').value || 'Your Name';
|
| 638 |
+
const currentRole = document.getElementById('current-role').value || 'Professional';
|
| 639 |
+
const experience = document.getElementById('experience').value || '3';
|
| 640 |
+
const skills = document.getElementById('skills').value || 'Various skills';
|
| 641 |
+
const jobTitle = document.getElementById('job-title').value || 'Target Role';
|
| 642 |
+
const company = document.getElementById('company-name').value || 'Target Company';
|
| 643 |
+
const jobDescription = document.getElementById('job-description').value;
|
| 644 |
+
|
| 645 |
+
// Show loading state
|
| 646 |
+
const resumeOutput = document.getElementById('resume-output');
|
| 647 |
+
const analysisOutput = document.getElementById('analysis-output');
|
| 648 |
+
resumeOutput.innerHTML = '<p>π Generating AI-Optimized Resume...</p>';
|
| 649 |
+
analysisOutput.innerHTML = '<p>π Analyzing your profile against the job...</p>';
|
| 650 |
+
|
| 651 |
+
// Construct the prompt for the LLM
|
| 652 |
+
const prompt = `Based on the following information, generate an optimized resume and a matching analysis:
|
| 653 |
+
|
| 654 |
+
**User Profile:**
|
| 655 |
+
- Name: ${name}
|
| 656 |
+
- Current Position: ${currentRole}
|
| 657 |
+
- Years of Experience: ${experience} years
|
| 658 |
+
- Skills: ${skills}
|
| 659 |
+
|
| 660 |
+
**Target Position:**
|
| 661 |
+
- Job Title: ${jobTitle}
|
| 662 |
+
- Company Name: ${company}
|
| 663 |
+
- Job Description: ${jobDescription}
|
| 664 |
+
|
| 665 |
+
Please return a JSON object strictly containing two keys:
|
| 666 |
+
1. "resume" - The complete resume content (in HTML format), including:
|
| 667 |
+
- Professional Summary (highlighting the match with the position)
|
| 668 |
+
- Core Skills (sorted by importance)
|
| 669 |
+
- Work Experience (can generate examples based on common experience, emphasizing achievements relevant to the target position)
|
| 670 |
+
- Education
|
| 671 |
+
|
| 672 |
+
2. "analysis" - The matching analysis (in HTML format), including:
|
| 673 |
+
- A match score (0-100%) displayed in a styled div
|
| 674 |
+
- A list of matched skills
|
| 675 |
+
- 3-5 specific suggestions for improvement
|
| 676 |
+
|
| 677 |
+
JSON format example:
|
| 678 |
+
{
|
| 679 |
+
"resume": "<h1>Name</h1><h2>Professional Summary</h2><p>...</p>",
|
| 680 |
+
"analysis": "<div class='match-score' style='...'>85%</div><h3>Matched Skills</h3>..."
|
| 681 |
+
}`;
|
| 682 |
+
|
| 683 |
+
const systemPrompt = 'You are a professional career consultant and resume expert. Please strictly follow the JSON format for the response, ensuring the HTML is well-formed and professional.';
|
| 684 |
+
|
| 685 |
+
try {
|
| 686 |
+
// Call the LLM API
|
| 687 |
+
const aiReply = await callLLM(prompt, systemPrompt);
|
| 688 |
+
const llmResponse = parseAIResponse(aiReply);
|
| 689 |
+
|
| 690 |
+
if (llmResponse && llmResponse.resume && llmResponse.analysis) {
|
| 691 |
+
resumeOutput.innerHTML = llmResponse.resume;
|
| 692 |
+
analysisOutput.innerHTML = llmResponse.analysis;
|
| 693 |
+
} else {
|
| 694 |
+
// ε¦ζθ§£ζε€±θ΄₯οΌη΄ζ₯ζΎη€Ί AI ηεε€
|
| 695 |
+
resumeOutput.innerHTML = `<div style="line-height: 1.6;">${aiReply.replace(/\n/g, '<br>')}</div>`;
|
| 696 |
+
analysisOutput.innerHTML = '<p>β
Resume generated (format may need adjustment)</p>';
|
| 697 |
+
}
|
| 698 |
+
} catch (error) {
|
| 699 |
+
resumeOutput.innerHTML = '<p style="color: red;">β Generation failed, please check API configuration</p>';
|
| 700 |
+
analysisOutput.innerHTML = '<p style="color: red;">β Generation failed</p>';
|
| 701 |
+
}
|
| 702 |
+
}
|
| 703 |
+
|
| 704 |
+
// 2. INTERVIEW COACH - AI-POWERED FUNCTIONALITY
|
| 705 |
+
async function generateInterviewQuestions() {
|
| 706 |
+
const role = document.getElementById('interview-role').value || 'Developer';
|
| 707 |
+
const level = document.getElementById('interview-level').value;
|
| 708 |
+
const skills = document.getElementById('interview-skills').value || 'Relevant Skills';
|
| 709 |
+
|
| 710 |
+
const levelText = {
|
| 711 |
+
'entry': 'Entry Level',
|
| 712 |
+
'mid': 'Mid Level',
|
| 713 |
+
'senior': 'Senior Level',
|
| 714 |
+
'lead': 'Lead/Manager'
|
| 715 |
+
}[level];
|
| 716 |
+
|
| 717 |
+
const outputDiv = document.getElementById('interview-output');
|
| 718 |
+
outputDiv.innerHTML = '<p>π€ AI is generating customized interview questions for you...</p>';
|
| 719 |
+
|
| 720 |
+
const prompt = `As a senior interviewer and career consultant, generate comprehensive interview preparation materials for the following position:
|
| 721 |
+
|
| 722 |
+
**Position Information:**
|
| 723 |
+
- Position: ${role}
|
| 724 |
+
- Level: ${levelText}
|
| 725 |
+
- Key Skills: ${skills}
|
| 726 |
+
|
| 727 |
+
Please generate the following content (using HTML format):
|
| 728 |
+
|
| 729 |
+
1. **Technical Interview Questions** (8-10 questions)
|
| 730 |
+
- Technical depth appropriate for the position level
|
| 731 |
+
- Covering the listed key skills
|
| 732 |
+
- Including system design, algorithms, best practices, etc.
|
| 733 |
+
|
| 734 |
+
2. **Behavioral Interview Questions** (5-6 questions)
|
| 735 |
+
- Questions suitable for the STAR method
|
| 736 |
+
- Targeting leadership/collaboration skills for this level
|
| 737 |
+
- Scenarios for conflict resolution and challenges
|
| 738 |
+
|
| 739 |
+
3. **For each question, provide:**
|
| 740 |
+
- The question itself
|
| 741 |
+
- The competencies the interviewer wants to assess
|
| 742 |
+
- Answering strategy/key points (brief)
|
| 743 |
+
|
| 744 |
+
4. **Interview Preparation Advice**
|
| 745 |
+
- Key preparation points for this position
|
| 746 |
+
- Explanation of the STAR method
|
| 747 |
+
- 3-5 practical tips
|
| 748 |
+
|
| 749 |
+
Please use the following HTML structure:
|
| 750 |
+
- Use <div class="skill-category"> to wrap each major category
|
| 751 |
+
- Use <div class="question-item"> to wrap each question
|
| 752 |
+
- Use <div class="tips"> to wrap preparation advice`;
|
| 753 |
+
|
| 754 |
+
const systemPrompt = 'You are an experienced interviewer and career mentor, skilled at designing in-depth interview questions. Please provide practical, professional interview preparation materials.';
|
| 755 |
+
|
| 756 |
+
try {
|
| 757 |
+
const aiReply = await callLLM(prompt, systemPrompt);
|
| 758 |
+
// η΄ζ₯δ½Ώη¨ AI θΏεη HTML
|
| 759 |
+
outputDiv.innerHTML = aiReply;
|
| 760 |
+
} catch (error) {
|
| 761 |
+
outputDiv.innerHTML = '<p style="color: red;">β Generation failed, please check API configuration</p>';
|
| 762 |
+
}
|
| 763 |
+
}
|
| 764 |
+
|
| 765 |
+
// 3. LEARNING PATH - AI-POWERED FUNCTIONALITY
|
| 766 |
+
async function generateLearningPath() {
|
| 767 |
+
const currentSkills = document.getElementById('current-skills').value || 'Basic Skills';
|
| 768 |
+
const targetRole = document.getElementById('target-role-learning').value || 'Full Stack Developer';
|
| 769 |
+
const timeline = parseInt(document.getElementById('timeline').value);
|
| 770 |
+
|
| 771 |
+
const outputDiv = document.getElementById('learning-output');
|
| 772 |
+
outputDiv.innerHTML = '<p>π AI is planning a personalized learning path for you...</p>';
|
| 773 |
+
|
| 774 |
+
const prompt = `As a senior career mentor and skill development expert, create a detailed learning path for the following situation:
|
| 775 |
+
|
| 776 |
+
**Current Status:**
|
| 777 |
+
- Existing Skills: ${currentSkills}
|
| 778 |
+
- Target Position: ${targetRole}
|
| 779 |
+
- Learning Timeline: ${timeline} months
|
| 780 |
+
|
| 781 |
+
Please generate a detailed learning path plan (in HTML format), including:
|
| 782 |
+
|
| 783 |
+
1. **Skill Gap Analysis**
|
| 784 |
+
- Skills already possessed (mark with β
)
|
| 785 |
+
- Skills that need to be learned (mark with π)
|
| 786 |
+
- Prioritization of skills
|
| 787 |
+
|
| 788 |
+
2. **Phased Learning Plan**
|
| 789 |
+
Divided into 3 phases over ${timeline} months:
|
| 790 |
+
- **Foundation Phase** (first ${Math.floor(timeline/3)} months): Essential basic knowledge and tools
|
| 791 |
+
- **Intermediate Phase** (middle ${Math.floor(timeline/3)} months): Deepening core skills
|
| 792 |
+
- **Advanced Phase** (last ${Math.ceil(timeline/3)} months): Advanced skills and project practice
|
| 793 |
+
|
| 794 |
+
Each phase includes:
|
| 795 |
+
- Specific learning content
|
| 796 |
+
- Recommended types of learning resources
|
| 797 |
+
- Time allocation suggestions
|
| 798 |
+
|
| 799 |
+
3. **Practical Project Suggestions**
|
| 800 |
+
- 3-5 progressive projects
|
| 801 |
+
- Skill application points for each project
|
| 802 |
+
- Increasing project difficulty
|
| 803 |
+
|
| 804 |
+
4. **Learning Resource Recommendations**
|
| 805 |
+
- Online course platforms
|
| 806 |
+
- Book recommendations
|
| 807 |
+
- Practice platforms
|
| 808 |
+
|
| 809 |
+
5. **Weekly Learning Plan**
|
| 810 |
+
- Suggested weekly study hours
|
| 811 |
+
- Learning methods (theory vs. practice ratio)
|
| 812 |
+
- Milestone checkpoints
|
| 813 |
+
|
| 814 |
+
Please use the following HTML structure:
|
| 815 |
+
- <div class="skill-category"> to wrap each learning phase
|
| 816 |
+
- Use colored divs to mark skill status: #d1fae5 for mastered, #fef3c7 for to-learn
|
| 817 |
+
- <div class="tips"> to wrap learning advice and resources`;
|
| 818 |
+
|
| 819 |
+
const systemPrompt = 'You are an experienced career mentor and learning planner, skilled at creating personalized, actionable learning paths. Please ensure the advice is specific and actionable.';
|
| 820 |
+
|
| 821 |
+
try {
|
| 822 |
+
const aiReply = await callLLM(prompt, systemPrompt);
|
| 823 |
+
outputDiv.innerHTML = aiReply;
|
| 824 |
+
} catch (error) {
|
| 825 |
+
outputDiv.innerHTML = '<p style="color: red;">β Generation failed, please check API configuration</p>';
|
| 826 |
+
}
|
| 827 |
+
}
|
| 828 |
+
|
| 829 |
+
// 4. COVER LETTER GENERATOR - AI-POWERED FUNCTIONALITY
|
| 830 |
+
async function generateCoverLetter() {
|
| 831 |
+
const company = document.getElementById('cl-company').value || 'Target Company';
|
| 832 |
+
const role = document.getElementById('cl-role').value || 'Target Role';
|
| 833 |
+
const achievement = document.getElementById('cl-highlight').value || 'My work experience and achievements';
|
| 834 |
+
const tone = document.getElementById('cl-tone').value;
|
| 835 |
+
|
| 836 |
+
const toneText = {
|
| 837 |
+
'professional': 'Professional',
|
| 838 |
+
'enthusiastic': 'Enthusiastic',
|
| 839 |
+
'formal': 'Formal'
|
| 840 |
+
}[tone];
|
| 841 |
+
|
| 842 |
+
const outputDiv = document.getElementById('coverletter-output');
|
| 843 |
+
outputDiv.innerHTML = '<p>βοΈ AI is writing a personalized cover letter for you...</p>';
|
| 844 |
+
|
| 845 |
+
const prompt = `As a professional cover letter writing expert, write a high-quality cover letter for the following job application scenario:
|
| 846 |
+
|
| 847 |
+
**Application Information:**
|
| 848 |
+
- Target Company: ${company}
|
| 849 |
+
- Position Applied For: ${role}
|
| 850 |
+
- Core Achievement: ${achievement}
|
| 851 |
+
- Writing Style: ${toneText}
|
| 852 |
+
|
| 853 |
+
Please generate a complete cover letter (in HTML format), including:
|
| 854 |
+
|
| 855 |
+
1. **Salutation** (choose an appropriate opening based on the style)
|
| 856 |
+
|
| 857 |
+
2. **Opening Paragraph**
|
| 858 |
+
- Express interest in the position
|
| 859 |
+
- Briefly explain why you are applying
|
| 860 |
+
- Reflect the ${toneText} style
|
| 861 |
+
|
| 862 |
+
3. **Body Paragraphs** (2-3 paragraphs)
|
| 863 |
+
- First paragraph: Elaborate on the core achievement, supported by specific data and results
|
| 864 |
+
- Second paragraph: Explain why you are a good fit for ${company} and ${role}
|
| 865 |
+
- Third paragraph (optional): Show your knowledge and appreciation of the company
|
| 866 |
+
|
| 867 |
+
4. **Closing Paragraph**
|
| 868 |
+
- Reiterate your interest and value
|
| 869 |
+
- Politely request an interview opportunity
|
| 870 |
+
- Thank the reader
|
| 871 |
+
|
| 872 |
+
5. **Signature**
|
| 873 |
+
- Include a polite closing
|
| 874 |
+
- Placeholders for [Name], [Phone], [Email]
|
| 875 |
+
|
| 876 |
+
6. **Customization Suggestions**
|
| 877 |
+
After the cover letter, add a <div class="tips"> containing 3-5 specific optimization suggestions
|
| 878 |
+
|
| 879 |
+
Note:
|
| 880 |
+
- Use <p> tags for paragraphs
|
| 881 |
+
- Line height 1.8, font Arial
|
| 882 |
+
- Maintain a consistent ${toneText} tone
|
| 883 |
+
- Avoid being too generic, be as specific as possible
|
| 884 |
+
- Keep the length moderate (300-400 words)`;
|
| 885 |
+
|
| 886 |
+
const systemPrompt = 'You are an experienced career consultant and expert cover letter writer. Please write a professional, persuasive, and personalized cover letter.';
|
| 887 |
+
|
| 888 |
+
try {
|
| 889 |
+
const aiReply = await callLLM(prompt, systemPrompt);
|
| 890 |
+
outputDiv.innerHTML = aiReply;
|
| 891 |
+
} catch (error) {
|
| 892 |
+
outputDiv.innerHTML = '<p style="color: red;">β Generation failed, please check API configuration</p>';
|
| 893 |
+
}
|
| 894 |
+
}
|
| 895 |
+
|
| 896 |
+
// 5. LINKEDIN OPTIMIZER - AI-POWERED FUNCTIONALITY
|
| 897 |
+
async function optimizeLinkedIn() {
|
| 898 |
+
const headline = document.getElementById('li-headline').value || 'Current Professional';
|
| 899 |
+
const about = document.getElementById('li-about').value || 'Experienced professional seeking new opportunities';
|
| 900 |
+
const target = document.getElementById('li-target').value || 'Technology field';
|
| 901 |
+
|
| 902 |
+
const outputDiv = document.getElementById('linkedin-output');
|
| 903 |
+
outputDiv.innerHTML = '<p>πΌ AI is optimizing your LinkedIn profile...</p>';
|
| 904 |
+
|
| 905 |
+
const prompt = `As a LinkedIn profile optimization expert and personal branding consultant, optimize the following LinkedIn profile:
|
| 906 |
+
|
| 907 |
+
**Current Profile:**
|
| 908 |
+
- Current Headline: ${headline}
|
| 909 |
+
- Current About Section: ${about}
|
| 910 |
+
- Target Industry/Roles: ${target}
|
| 911 |
+
|
| 912 |
+
Please generate an optimized LinkedIn profile (in HTML format), including:
|
| 913 |
+
|
| 914 |
+
1. **Optimized Headline**
|
| 915 |
+
- Include job title, professional field, key skills
|
| 916 |
+
- Use | or β’ as separators
|
| 917 |
+
- Make full use of the 220-character limit
|
| 918 |
+
- Include search keywords
|
| 919 |
+
- Display in <div class="question-item" style="font-size: 1.1em; font-weight: bold;">
|
| 920 |
+
|
| 921 |
+
2. **Optimized About Section**
|
| 922 |
+
- Opening: An engaging self-introduction
|
| 923 |
+
- Core Competencies: 3-5 professional areas
|
| 924 |
+
- Skills List: Categorized (core competencies, technical skills, etc.)
|
| 925 |
+
- Career Highlights: 2-3 quantifiable achievements
|
| 926 |
+
- Closing: Open to opportunities and contact information
|
| 927 |
+
- Use <p> and <strong> tags
|
| 928 |
+
- Line height 1.6
|
| 929 |
+
|
| 930 |
+
3. **Recommended Hashtags**
|
| 931 |
+
- 8-10 relevant industry hashtags
|
| 932 |
+
- Format: #hashtag
|
| 933 |
+
|
| 934 |
+
4. **Optimization Suggestions**
|
| 935 |
+
Use <div class="tips"> to include:
|
| 936 |
+
- Suggestions for optimizing the skills section
|
| 937 |
+
- Content publishing strategy
|
| 938 |
+
- Networking expansion advice
|
| 939 |
+
- 5-7 practical tips
|
| 940 |
+
|
| 941 |
+
Note:
|
| 942 |
+
- Emphasize keywords related to ${target}
|
| 943 |
+
- Use industry-specific professional terminology
|
| 944 |
+
- Reflect personal brand and value
|
| 945 |
+
- SEO-friendly (to be easily found by search)
|
| 946 |
+
`;
|
| 947 |
+
|
| 948 |
+
const systemPrompt = 'You are a LinkedIn optimization expert and personal branding consultant, skilled at creating professional and attractive LinkedIn profiles.';
|
| 949 |
+
|
| 950 |
+
try {
|
| 951 |
+
const aiReply = await callLLM(prompt, systemPrompt);
|
| 952 |
+
outputDiv.innerHTML = aiReply;
|
| 953 |
+
} catch (error) {
|
| 954 |
+
outputDiv.innerHTML = '<p style="color: red;">β Generation failed, please check API configuration</p>';
|
| 955 |
+
}
|
| 956 |
+
}
|
| 957 |
+
|
| 958 |
+
// 6. SALARY INTELLIGENCE - AI-ENHANCED FUNCTIONALITY
|
| 959 |
+
async function analyzeSalary() {
|
| 960 |
+
const role = document.getElementById('salary-role').value || 'Software Engineer';
|
| 961 |
+
const location = document.getElementById('salary-location').value || 'San Francisco, CA';
|
| 962 |
+
const experience = parseInt(document.getElementById('salary-experience').value) || 3;
|
| 963 |
+
const companySize = document.getElementById('salary-company').value;
|
| 964 |
+
|
| 965 |
+
const outputDiv = document.getElementById('salary-output');
|
| 966 |
+
outputDiv.innerHTML = '<p>π° AI is analyzing market salary data...</p>';
|
| 967 |
+
|
| 968 |
+
const companySizeText = {
|
| 969 |
+
'startup': 'Startup (1-50 employees)',
|
| 970 |
+
'small': 'Small (51-200 employees)',
|
| 971 |
+
'medium': 'Medium (201-1000 employees)',
|
| 972 |
+
'large': 'Large (1001-5000 employees)',
|
| 973 |
+
'enterprise': 'Enterprise (5000+ employees)'
|
| 974 |
+
}[companySize];
|
| 975 |
+
|
| 976 |
+
const prompt = `As a salary negotiation expert and market analyst, analyze the salary for the following position:
|
| 977 |
+
|
| 978 |
+
**Position Information:**
|
| 979 |
+
- Job Title: ${role}
|
| 980 |
+
- Location: ${location}
|
| 981 |
+
- Years of Experience: ${experience} years
|
| 982 |
+
- Company Size: ${companySizeText}
|
| 983 |
+
|
| 984 |
+
Please provide a detailed salary analysis report (in HTML format), including:
|
| 985 |
+
|
| 986 |
+
1. **Salary Estimation**
|
| 987 |
+
Create 3 <div class="salary-item"> cards showing:
|
| 988 |
+
- Base Salary (annual range: low-average-high)
|
| 989 |
+
- Annual Bonus (as a percentage of base salary)
|
| 990 |
+
- Equity/RSUs (estimated value vesting over 4 years)
|
| 991 |
+
|
| 992 |
+
Each card format:
|
| 993 |
+
\
|
| 994 |
+
<div class="salary-item">
|
| 995 |
+
<div class="salary-value">$XXX,XXX</div>
|
| 996 |
+
<div>Item Name</div>
|
| 997 |
+
<small>Additional Info</small>
|
| 998 |
+
</div>
|
| 999 |
+
\
|
| 1000 |
+
|
| 1001 |
+
2. **Total Compensation**
|
| 1002 |
+
Display using the following style:
|
| 1003 |
+
\
|
| 1004 |
+
<div class="match-score" style="background: linear-gradient(135deg, #f59e0b, #fbbf24);">
|
| 1005 |
+
Total Compensation: $XXX,XXX/year
|
| 1006 |
+
</div>
|
| 1007 |
+
\
|
| 1008 |
+
|
| 1009 |
+
3. **Market Positioning Analysis**
|
| 1010 |
+
Include in a <div class="skill-category">:
|
| 1011 |
+
- Geographic Impact (${location} compared to national average)
|
| 1012 |
+
- Experience Premium (${experience} years vs. new graduate)
|
| 1013 |
+
- Company Size Impact (trade-off between base salary vs. equity)
|
| 1014 |
+
- Industry Comparison
|
| 1015 |
+
|
| 1016 |
+
4. **Negotiation Strategy**
|
| 1017 |
+
Provide in a <div class="tips">:
|
| 1018 |
+
- Target salary range (considering a 10-15% negotiation buffer)
|
| 1019 |
+
- Equity negotiation advice
|
| 1020 |
+
- Benefits considerations
|
| 1021 |
+
- 5-7 practical negotiation tips
|
| 1022 |
+
- Market trend insights
|
| 1023 |
+
|
| 1024 |
+
Notes:
|
| 1025 |
+
- All amounts should use USD ($) and thousand separators
|
| 1026 |
+
- Salary data should be current for 2024-2025 market conditions
|
| 1027 |
+
- Consider the cost of living in ${location}
|
| 1028 |
+
- Differentiate salary structures for different company sizes
|
| 1029 |
+
- The advice given should be specific and actionable
|
| 1030 |
+
|
| 1031 |
+
Add a title before the salary cards:
|
| 1032 |
+
<h4>π° Salary Analysis: ${role}</h4>
|
| 1033 |
+
<div class="salary-breakdown">
|
| 1034 |
+
[three salary-item cards]
|
| 1035 |
+
</div>`;
|
| 1036 |
+
|
| 1037 |
+
const systemPrompt = 'You are a salary negotiation expert and market analyst, specializing in the tech industry compensation structure. Please provide accurate, practical salary analysis and negotiation advice.';
|
| 1038 |
+
|
| 1039 |
+
|
| 1040 |
+
try {
|
| 1041 |
+
const aiReply = await callLLM(prompt, systemPrompt);
|
| 1042 |
+
outputDiv.innerHTML = aiReply;
|
| 1043 |
+
} catch (error) {
|
| 1044 |
+
outputDiv.innerHTML = '<p style="color: red;">β Generation failed, please check API configuration</p>';
|
| 1045 |
+
}
|
| 1046 |
+
}
|
| 1047 |
+
|
| 1048 |
+
// UTILITY FUNCTIONS
|
| 1049 |
+
function extractKeywords(text) {
|
| 1050 |
+
if (!text) return ['various', 'skills', 'experience'];
|
| 1051 |
+
const commonWords = ['the', 'a', 'an', 'and', 'or', 'but', 'in', 'on', 'at', 'to', 'for', 'of', 'with', 'by'];
|
| 1052 |
+
return text.toLowerCase()
|
| 1053 |
+
.replace(/[^\w\s]/g, '')
|
| 1054 |
+
.split(/\s+/)
|
| 1055 |
+
.filter(word => word.length > 3 && !commonWords.includes(word))
|
| 1056 |
+
.slice(0, 15);
|
| 1057 |
+
}
|
| 1058 |
+
|
| 1059 |
+
function generateProfessionalSummary(name, currentRole, experience, jobTitle, company, matchedSkills) {
|
| 1060 |
+
return `Accomplished ${currentRole} with ${experience} years of experience seeking ${jobTitle} position at ${company}. Proven expertise in ${matchedSkills.slice(0,3).join(', ')} with track record of delivering innovative solutions and driving business growth. Strong background in full project lifecycle management and cross-functional collaboration.`;
|
| 1061 |
+
}
|
| 1062 |
+
|
| 1063 |
+
function getSkillDescription(skill) {
|
| 1064 |
+
const descriptions = {
|
| 1065 |
+
'python': 'Python programming and development',
|
| 1066 |
+
'javascript': 'JavaScript and modern frameworks',
|
| 1067 |
+
'react': 'React.js and frontend development',
|
| 1068 |
+
'node': 'Node.js and backend services',
|
| 1069 |
+
'aws': 'Amazon Web Services cloud platform',
|
| 1070 |
+
'docker': 'Containerization and DevOps',
|
| 1071 |
+
'machine learning': 'ML algorithms and model development',
|
| 1072 |
+
'data analysis': 'Data processing and insights generation',
|
| 1073 |
+
'project management': 'Project planning and execution',
|
| 1074 |
+
'leadership': 'Team leadership and mentorship'
|
| 1075 |
+
};
|
| 1076 |
+
return descriptions[skill.toLowerCase()] || 'relevant professional skill';
|
| 1077 |
+
}
|
| 1078 |
+
|
| 1079 |
+
function getScoreColor(score) {
|
| 1080 |
+
if (score >= 80) return 'linear-gradient(135deg, #10b981, #34d399)';
|
| 1081 |
+
if (score >= 60) return 'linear-gradient(135deg, #f59e0b, #fbbf24)';
|
| 1082 |
+
return 'linear-gradient(135deg, #ef4444, #f87171)';
|
| 1083 |
+
}
|
| 1084 |
+
|
| 1085 |
+
function exportToPDF() {
|
| 1086 |
+
const element = document.getElementById('resume-output');
|
| 1087 |
+
const opt = {
|
| 1088 |
+
margin: 10,
|
| 1089 |
+
filename: 'optimized_resume.pdf',
|
| 1090 |
+
image: { type: 'jpeg', quality: 0.98 },
|
| 1091 |
+
html2canvas: { scale: 2 },
|
| 1092 |
+
jsPDF: { unit: 'mm', format: 'a4', orientation: 'portrait' }
|
| 1093 |
+
};
|
| 1094 |
+
html2pdf().set(opt).from(element).save();
|
| 1095 |
+
}
|
| 1096 |
+
|
| 1097 |
+
function copyToClipboard(elementId) {
|
| 1098 |
+
const element = document.getElementById(elementId);
|
| 1099 |
+
const text = element.innerText;
|
| 1100 |
+
navigator.clipboard.writeText(text).then(() => {
|
| 1101 |
+
alert('Copied to clipboard!');
|
| 1102 |
+
});
|
| 1103 |
+
}
|
| 1104 |
+
|
| 1105 |
+
// API CONFIGURATION - DeepSeek only
|
| 1106 |
+
const API_CONFIG = {
|
| 1107 |
+
model: 'deepseek-chat'
|
| 1108 |
+
};
|
| 1109 |
+
|
| 1110 |
+
// LLM API CALL - REAL IMPLEMENTATION
|
| 1111 |
+
async function callLLM(prompt, systemPrompt = 'You are a professional career consultant and AI assistant. Please provide valuable and practical advice.') {
|
| 1112 |
+
console.log("Sending request to HF Space backend...");
|
| 1113 |
+
|
| 1114 |
+
const statusIcon = document.getElementById('api-status');
|
| 1115 |
+
|
| 1116 |
+
// Set status to loading
|
| 1117 |
+
if (statusIcon) statusIcon.textContent = 'π';
|
| 1118 |
+
|
| 1119 |
+
try {
|
| 1120 |
+
// This is the request body DeepSeek expects.
|
| 1121 |
+
// We build it here and send it to our backend proxy.
|
| 1122 |
+
const requestBody = {
|
| 1123 |
+
model: API_CONFIG.model,
|
| 1124 |
+
messages: [
|
| 1125 |
+
{
|
| 1126 |
+
role: 'system',
|
| 1127 |
+
content: systemPrompt
|
| 1128 |
+
},
|
| 1129 |
+
{
|
| 1130 |
+
role: 'user',
|
| 1131 |
+
content: prompt
|
| 1132 |
+
}
|
| 1133 |
+
],
|
| 1134 |
+
temperature: 0.7,
|
| 1135 |
+
stream: false
|
| 1136 |
+
};
|
| 1137 |
+
|
| 1138 |
+
// Send the request to OUR backend endpoint '/call-deepseek'
|
| 1139 |
+
const response = await fetch('/call-deepseek', {
|
| 1140 |
+
method: 'POST',
|
| 1141 |
+
headers: {
|
| 1142 |
+
'Content-Type': 'application/json',
|
| 1143 |
+
},
|
| 1144 |
+
body: JSON.stringify(requestBody) // Send the JSON payload
|
| 1145 |
+
});
|
| 1146 |
+
|
| 1147 |
+
if (!response.ok) {
|
| 1148 |
+
// Get error detail from our FastAPI backend
|
| 1149 |
+
const errorData = await response.json().catch(() => ({}));
|
| 1150 |
+
if (statusIcon) statusIcon.textContent = 'β';
|
| 1151 |
+
throw new Error(errorData.detail || `Server Error ${response.status}: ${response.statusText}`);
|
| 1152 |
+
}
|
| 1153 |
+
|
| 1154 |
+
// The 'data' is the full response from DeepSeek,
|
| 1155 |
+
// proxied through our backend
|
| 1156 |
+
const data = await response.json();
|
| 1157 |
+
|
| 1158 |
+
if (statusIcon) statusIcon.textContent = 'β
';
|
| 1159 |
+
|
| 1160 |
+
// Extract the AI reply as before
|
| 1161 |
+
let aiReply = data.choices[0].message.content;
|
| 1162 |
+
console.log("AI reply received, length:", aiReply.length);
|
| 1163 |
+
|
| 1164 |
+
return aiReply;
|
| 1165 |
+
|
| 1166 |
+
} catch (error) {
|
| 1167 |
+
if (statusIcon) statusIcon.textContent = 'β';
|
| 1168 |
+
console.error("API call error:", error);
|
| 1169 |
+
|
| 1170 |
+
alert(`β API call failed: ${error.message}\n\nPlease check the server status. If this persists, the app owner may need to check the Hugging Face logs.`);
|
| 1171 |
+
|
| 1172 |
+
throw error;
|
| 1173 |
+
}
|
| 1174 |
+
}
|
| 1175 |
+
|
| 1176 |
+
// θ§£ζ JSON εεΊηθΎ
ε©ε½ζ°
|
| 1177 |
+
function parseAIResponse(aiReply) {
|
| 1178 |
+
try {
|
| 1179 |
+
// Clean up possible markdown code block markers
|
| 1180 |
+
let cleaned = aiReply.replace(/```json\n?/g, '').replace(/```\n?/g, '').trim();
|
| 1181 |
+
return JSON.parse(cleaned);
|
| 1182 |
+
} catch (parseError) {
|
| 1183 |
+
console.warn("JSON parsing failed, trying to extract:", parseError);
|
| 1184 |
+
|
| 1185 |
+
// Try to extract the JSON object
|
| 1186 |
+
const jsonMatch = aiReply.match(/\{[\s\S]*\}/);
|
| 1187 |
+
if (jsonMatch) {
|
| 1188 |
+
try {
|
| 1189 |
+
return JSON.parse(jsonMatch[0]);
|
| 1190 |
+
} catch (e) {
|
| 1191 |
+
console.error("Secondary parsing failed:", e);
|
| 1192 |
+
}
|
| 1193 |
+
}
|
| 1194 |
+
|
| 1195 |
+
// Return the original text
|
| 1196 |
+
return null;
|
| 1197 |
+
}
|
| 1198 |
+
}
|
| 1199 |
+
|
| 1200 |
+
// Initialize with sample data
|
| 1201 |
+
document.addEventListener('DOMContentLoaded', function() {
|
| 1202 |
+
|
| 1203 |
+
// Set status to 'Ready'
|
| 1204 |
+
const statusIcon = document.getElementById('api-status');
|
| 1205 |
+
if (statusIcon) statusIcon.textContent = 'β
';
|
| 1206 |
+
|
| 1207 |
+
// Set sample data for demonstration
|
| 1208 |
+
document.getElementById('name').value = 'Alexandra Chen';
|
| 1209 |
+
document.getElementById('current-role').value = 'Senior Frontend Developer';
|
| 1210 |
+
document.getElementById('experience').value = '6';
|
| 1211 |
+
document.getElementById('skills').value = 'React, TypeScript, JavaScript ES6+, Redux, Node.js, RESTful APIs, GraphQL, AWS, Docker, Webpack, Jest, Agile Methodology, Team Leadership, Code Review, Performance Optimization';
|
| 1212 |
+
document.getElementById('job-title').value = 'Principal Frontend Engineer';
|
| 1213 |
+
document.getElementById('company-name').value = 'InnovateTech Solutions';
|
| 1214 |
+
document.getElementById('job-description').value = `We are seeking an experienced Principal Frontend Engineer to lead our frontend development team. The ideal candidate will have 6+ years of experience building scalable web applications and a deep understanding of modern JavaScript frameworks.
|
| 1215 |
+
|
| 1216 |
+
Responsibilities:
|
| 1217 |
+
- Lead and mentor a team of 8 frontend developers
|
| 1218 |
+
- Architect and implement complex frontend systems using React and TypeScript
|
| 1219 |
+
- Collaborate with product managers and designers to define technical requirements
|
| 1220 |
+
- Optimize applications for maximum performance and scalability
|
| 1221 |
+
- Establish and enforce coding standards and best practices
|
| 1222 |
+
- Conduct code reviews and provide constructive feedback
|
| 1223 |
+
- Drive technical innovation and stay current with industry trends
|
| 1224 |
+
|
| 1225 |
+
Requirements:
|
| 1226 |
+
- 6+ years of professional frontend development experience
|
| 1227 |
+
- Expertise in React, TypeScript, and modern JavaScript
|
| 1228 |
+
- Strong experience with state management (Redux, Context API)
|
| 1229 |
+
- Proficiency in build tools (Webpack, Babel) and testing frameworks
|
| 1230 |
+
- Experience with cloud platforms (AWS, Azure, or GCP)
|
| 1231 |
+
- Excellent leadership and communication skills
|
| 1232 |
+
- Bachelor's degree in Computer Science or related field`;
|
| 1233 |
+
|
| 1234 |
+
document.getElementById('interview-role').value = 'Senior Full Stack Developer';
|
| 1235 |
+
document.getElementById('interview-skills').value = 'Technical: React, Node.js, PostgreSQL, AWS, Docker, Microservices, System Design\nBehavioral: Team Leadership, Project Management, Conflict Resolution, Stakeholder Communication\nArchitecture: API Design, Database Optimization, Cloud Infrastructure, CI/CD Pipelines';
|
| 1236 |
+
document.getElementById('current-skills').value = 'JavaScript (Advanced), React (Intermediate), HTML/CSS (Advanced), Node.js (Basic), MongoDB (Basic), Git (Intermediate), REST APIs (Intermediate)';
|
| 1237 |
+
document.getElementById('target-role-learning').value = 'Full Stack Developer';
|
| 1238 |
+
document.getElementById('cl-company').value = 'TechNova Innovations';
|
| 1239 |
+
document.getElementById('cl-role').value = 'Senior Software Engineer';
|
| 1240 |
+
document.getElementById('cl-highlight').value = 'Led the development of a customer dashboard that improved user engagement by 45% and reduced loading time by 60%. Implemented React with TypeScript and optimized API calls, resulting in a 30% decrease in server costs. Managed a team of 3 junior developers and introduced code review processes that reduced bugs in production by 25%.';
|
| 1241 |
+
document.getElementById('li-headline').value = 'Frontend Developer at Current Company';
|
| 1242 |
+
document.getElementById('li-about').value = `I'm a frontend developer with experience in React and JavaScript. I enjoy building web applications and solving technical challenges. Looking for new opportunities in tech.`;
|
| 1243 |
+
document.getElementById('li-target').value = 'Tech Leadership, Senior Engineering Roles, FinTech';
|
| 1244 |
+
document.getElementById('salary-role').value = 'Senior Software Engineer';
|
| 1245 |
+
document.getElementById('salary-location').value = 'San Francisco, CA';
|
| 1246 |
+
document.getElementById('salary-experience').value = '6';
|
| 1247 |
+
});
|
| 1248 |
+
|
| 1249 |
+
</script>
|
| 1250 |
+
</body>
|
| 1251 |
+
</html>
|
requirements.txt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fastapi
|
| 2 |
+
uvicorn[standard]
|
| 3 |
+
httpx
|