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index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>CareerForge AI - Complete Career Platform</title>
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<script src="https://cdnjs.cloudflare.com/ajax/libs/html2pdf.js/0.10.1/html2pdf.bundle.min.js"></script>
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<style>
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/* Previous CSS styles remain the same */
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:root {
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--primary: #2563eb;
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--primary-dark: #1d4ed8;
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--secondary: #64748b;
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--success: #10b981;
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--warning: #f59e0b;
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--error: #ef4444;
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--background: #f8fafc;
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--surface: #ffffff;
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--text: #1e293b;
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--text-light: #64748b;
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}
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* {
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margin: 0;
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padding: 0;
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box-sizing: border-box;
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}
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body {
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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min-height: 100vh;
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padding: 20px;
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color: var(--text);
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}
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.container {
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max-width: 1200px;
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margin: 0 auto;
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background: var(--surface);
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border-radius: 20px;
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box-shadow: 0 20px 40px rgba(0,0,0,0.1);
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overflow: hidden;
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}
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.header {
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background: linear-gradient(135deg, var(--primary), var(--primary-dark));
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color: white;
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padding: 40px;
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text-align: center;
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}
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.header h1 {
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font-size: 2.5em;
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margin-bottom: 10px;
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font-weight: 700;
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}
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.tabs {
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display: flex;
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background: var(--background);
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border-bottom: 1px solid #e2e8f0;
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overflow-x: auto;
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}
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.tab-button {
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padding: 20px 30px;
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background: none;
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border: none;
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font-size: 1.1em;
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font-weight: 600;
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color: var(--text-light);
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cursor: pointer;
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transition: all 0.3s ease;
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white-space: nowrap;
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border-bottom: 3px solid transparent;
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}
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.tab-button:hover {
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color: var(--primary);
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background: rgba(37, 99, 235, 0.05);
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}
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.tab-button.active {
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color: var(--primary);
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border-bottom-color: var(--primary);
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background: white;
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}
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.tab-content {
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display: none;
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padding: 40px;
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min-height: 600px;
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}
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.tab-content.active {
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display: block;
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animation: fadeIn 0.5s ease;
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}
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@keyframes fadeIn {
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from { opacity: 0; transform: translateY(10px); }
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to { opacity: 1; transform: translateY(0); }
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}
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.form-grid {
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display: grid;
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grid-template-columns: 1fr 1fr;
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gap: 30px;
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margin-bottom: 30px;
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}
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.form-section {
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background: var(--surface);
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padding: 30px;
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border-radius: 15px;
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border: 1px solid #e2e8f0;
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}
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.form-section h3 {
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margin-bottom: 20px;
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color: var(--primary);
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font-size: 1.3em;
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}
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.form-group {
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margin-bottom: 20px;
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}
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label {
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display: block;
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margin-bottom: 8px;
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font-weight: 600;
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color: var(--text);
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}
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input, select, textarea {
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width: 100%;
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padding: 12px 16px;
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border: 2px solid #e2e8f0;
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border-radius: 10px;
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font-size: 1em;
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transition: border-color 0.3s ease;
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}
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input:focus, select:focus, textarea:focus {
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outline: none;
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border-color: var(--primary);
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}
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textarea {
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resize: vertical;
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min-height: 100px;
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}
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.btn {
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padding: 15px 30px;
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border: none;
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border-radius: 10px;
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font-size: 1.1em;
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font-weight: 600;
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cursor: pointer;
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transition: all 0.3s ease;
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display: inline-flex;
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align-items: center;
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gap: 10px;
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}
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.btn-primary {
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background: var(--primary);
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color: white;
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}
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.btn-primary:hover {
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background: var(--primary-dark);
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transform: translateY(-2px);
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}
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.output-grid {
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display: grid;
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grid-template-columns: 1fr 1fr;
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gap: 30px;
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margin-top: 30px;
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}
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.output-box {
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background: var(--surface);
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border: 1px solid #e2e8f0;
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border-radius: 15px;
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padding: 25px;
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min-height: 400px;
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max-height: 600px;
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overflow-y: auto;
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}
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.output-box h3 {
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margin-bottom: 15px;
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color: var(--primary);
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display: flex;
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align-items: center;
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gap: 10px;
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}
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.resume-content {
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line-height: 1.6;
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}
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.resume-content h1 {
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color: var(--primary);
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border-bottom: 3px solid var(--primary);
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padding-bottom: 10px;
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margin-bottom: 20px;
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}
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.match-score {
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font-size: 2em;
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font-weight: bold;
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text-align: center;
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margin: 20px 0;
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padding: 20px;
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border-radius: 10px;
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background: linear-gradient(135deg, var(--success), #34d399);
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color: white;
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}
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.action-buttons {
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display: flex;
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gap: 15px;
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margin-top: 20px;
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flex-wrap: wrap;
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}
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.question-item {
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background: #f8fafc;
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padding: 15px;
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margin: 10px 0;
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border-radius: 10px;
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border-left: 4px solid var(--primary);
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}
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.skill-category {
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margin: 20px 0;
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padding: 15px;
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background: #f0f9ff;
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border-radius: 10px;
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}
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.salary-breakdown {
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display: grid;
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grid-template-columns: repeat(3, 1fr);
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gap: 15px;
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margin: 20px 0;
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}
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.salary-item {
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text-align: center;
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padding: 15px;
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background: #f8fafc;
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border-radius: 10px;
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}
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.salary-value {
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font-size: 1.5em;
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font-weight: bold;
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color: var(--primary);
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}
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@media (max-width: 768px) {
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.form-grid, .output-grid {
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grid-template-columns: 1fr;
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}
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.salary-breakdown {
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grid-template-columns: 1fr;
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}
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}
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</style>
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</head>
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<body>
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<div class="container">
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<div class="header">
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<h1>🚀 CareerForge AI</h1>
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<p>Your All-in-One Intelligent Career Platform</p>
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<!-- API Configuration -->
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<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;">
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<div style="font-size: 0.95em; opacity: 0.95; line-height: 1.5; text-align: center;">
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💡 This platform is powered by AI. All features are now active.
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<span id="api-status" style="font-size: 1.2em; margin-left: 10px;">⚪</span>
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</div>
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</div>
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</div>
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<div class="tabs">
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<button class="tab-button active" onclick="openTab('resume-tab')">🎯 Smart Resume</button>
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<button class="tab-button" onclick="openTab('interview-tab')">💼 Interview Coach</button>
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<button class="tab-button" onclick="openTab('skills-tab')">📚 Learning Path</button>
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<button class="tab-button" onclick="openTab('coverletter-tab')">✉️ Cover Letters</button>
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<button class="tab-button" onclick="openTab('linkedin-tab')">💼 LinkedIn</button>
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<button class="tab-button" onclick="openTab('salary-tab')">💰 Salary Intel</button>
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</div>
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<!-- Resume Optimizer Tab -->
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<div id="resume-tab" class="tab-content active">
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<div class="form-grid">
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<div class="form-section">
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<h3>👤 Your Profile</h3>
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<div class="form-group">
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<label for="name">Full Name</label>
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<input type="text" id="name" placeholder="John Doe">
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</div>
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<div class="form-group">
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<label for="current-role">Current Role</label>
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<input type="text" id="current-role" placeholder="Software Developer">
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</div>
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<div class="form-group">
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<label for="experience">Years of Experience</label>
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<input type="number" id="experience" placeholder="5">
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</div>
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<div class="form-group">
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<label for="skills">Skills (comma separated)</label>
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<textarea id="skills" placeholder="Python, Project Management, Data Analysis..."></textarea>
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</div>
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</div>
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<div class="form-section">
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<h3>🎯 Target Opportunity</h3>
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<div class="form-group">
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<label for="job-title">Desired Job Title</label>
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<input type="text" id="job-title" placeholder="Senior Software Engineer">
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</div>
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<div class="form-group">
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<label for="job-description">Job Description</label>
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<textarea id="job-description" placeholder="Paste the job description here..."></textarea>
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</div>
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<div class="form-group">
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<label for="company-name">Company Name</label>
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<input type="text" id="company-name" placeholder="Tech Company Inc.">
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</div>
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</div>
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</div>
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<button class="btn btn-primary" onclick="generateResume()">🚀 Generate Optimized Resume</button>
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<div class="output-grid">
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<div class="output-box">
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<h3>📄 AI-Optimized Resume</h3>
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<div id="resume-output" class="resume-content"></div>
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</div>
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<div class="output-box">
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<h3>📊 Matching Analysis</h3>
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<div id="analysis-output"></div>
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</div>
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</div>
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<div class="action-buttons">
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<button class="btn btn-success" onclick="exportToPDF()">📥 Export as PDF</button>
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<button class="btn btn-secondary" onclick="copyToClipboard('resume-output')">📋 Copy Text</button>
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</div>
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</div>
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<!-- Interview Coach Tab -->
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<div id="interview-tab" class="tab-content">
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<div class="form-grid">
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<div class="form-section">
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<h3>🎯 Interview Setup</h3>
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<div class="form-group">
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<label for="interview-role">Target Role</label>
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<input type="text" id="interview-role" placeholder="Senior Developer">
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</div>
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<div class="form-group">
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<label for="interview-level">Experience Level</label>
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<select id="interview-level">
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<option value="entry">Entry Level</option>
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<option value="mid">Mid Level</option>
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<option value="senior">Senior Level</option>
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<option value="lead">Lead/Manager</option>
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</select>
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</div>
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<div class="form-group">
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<label for="interview-skills">Key Skills to Test</label>
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<textarea id="interview-skills" placeholder="Python, System Design, Leadership..."></textarea>
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</div>
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<button class="btn btn-primary" onclick="generateInterviewQuestions()">🎯 Generate Questions</button>
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</div>
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<div class="form-section">
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<h3>💡 Interview Results</h3>
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<div id="interview-output"></div>
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</div>
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</div>
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</div>
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<!-- Learning Path Tab -->
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<div id="skills-tab" class="tab-content">
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<div class="form-grid">
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<div class="form-section">
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<h3>📚 Skill Assessment</h3>
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<div class="form-group">
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<label for="current-skills">Current Skills</label>
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<textarea id="current-skills" placeholder="List your current skills..."></textarea>
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</div>
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<div class="form-group">
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<label for="target-role-learning">Target Role</label>
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<input type="text" id="target-role-learning" placeholder="AI Engineer">
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</div>
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<div class="form-group">
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<label for="timeline">Learning Timeline</label>
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| 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()">🛠️ Create Learning Path</button>
|
| 415 |
-
</div>
|
| 416 |
-
|
| 417 |
-
<div class="form-section">
|
| 418 |
-
<h3>🎯 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>✉️ 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()">✨ Generate Cover Letter</button>
|
| 450 |
-
</div>
|
| 451 |
-
|
| 452 |
-
<div class="form-section">
|
| 453 |
-
<h3>📝 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>💼 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()">🚀 Optimize Profile</button>
|
| 477 |
-
</div>
|
| 478 |
-
|
| 479 |
-
<div class="form-section">
|
| 480 |
-
<h3>🎯 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>💰 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()">💡 Get Salary Insights</button>
|
| 514 |
-
</div>
|
| 515 |
-
|
| 516 |
-
<div class="form-section">
|
| 517 |
-
<h3>📊 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>🚀 Generating AI-Optimized Resume...</p>';
|
| 649 |
-
analysisOutput.innerHTML = '<p>📊 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: ${jobDescription}
|
| 664 |
-
|
| 665 |
-
Please return a JSON object strictly containing two keys:
|
| 666 |
-
1. "resume" - The complete resume content (in HTML format), including:
|
| 667 |
-
- Professional Summary (highlighting the match with the position)
|
| 668 |
-
- Core Skills (sorted by importance)
|
| 669 |
-
- Work Experience (can generate examples based on common experience, emphasizing achievements relevant to the target position)
|
| 670 |
-
- Education
|
| 671 |
-
|
| 672 |
-
2. "analysis" - The matching analysis (in HTML format), including:
|
| 673 |
-
- A match score (0-100%) displayed in a styled div
|
| 674 |
-
- A list of matched skills
|
| 675 |
-
- 3-5 specific suggestions for improvement
|
| 676 |
-
|
| 677 |
-
JSON format example:
|
| 678 |
-
{
|
| 679 |
-
"resume": "<h1>Name</h1><h2>Professional Summary</h2><p>...</p>",
|
| 680 |
-
"analysis": "<div class='match-score' style='...'>85%</div><h3>Matched Skills</h3>..."
|
| 681 |
-
}`;
|
| 682 |
-
|
| 683 |
-
const systemPrompt = 'You are a professional career consultant and resume expert. Please strictly follow the JSON format for the response, ensuring the HTML is well-formed and professional.';
|
| 684 |
-
|
| 685 |
-
try {
|
| 686 |
-
// Call the LLM API
|
| 687 |
-
const aiReply = await callLLM(prompt, systemPrompt);
|
| 688 |
-
const llmResponse = parseAIResponse(aiReply);
|
| 689 |
-
|
| 690 |
-
if (llmResponse && llmResponse.resume && llmResponse.analysis) {
|
| 691 |
-
resumeOutput.innerHTML = llmResponse.resume;
|
| 692 |
-
analysisOutput.innerHTML = llmResponse.analysis;
|
| 693 |
-
} else {
|
| 694 |
-
// 如果解析失败,直接显示 AI 的回复
|
| 695 |
-
resumeOutput.innerHTML = `<div style="line-height: 1.6;">${aiReply.replace(/\n/g, '<br>')}</div>`;
|
| 696 |
-
analysisOutput.innerHTML = '<p>✅ Resume generated (format may need adjustment)</p>';
|
| 697 |
-
}
|
| 698 |
-
} catch (error) {
|
| 699 |
-
resumeOutput.innerHTML = '<p style="color: red;">❌ Generation failed, please check API configuration</p>';
|
| 700 |
-
analysisOutput.innerHTML = '<p style="color: red;">❌ 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>🤔 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 |
-
// 直接使用 AI 返回的 HTML
|
| 759 |
-
outputDiv.innerHTML = aiReply;
|
| 760 |
-
} catch (error) {
|
| 761 |
-
outputDiv.innerHTML = '<p style="color: red;">❌ 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>📚 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 ✅)
|
| 785 |
-
- Skills that need to be learned (mark with 📚)
|
| 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;">❌ 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>✍️ 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;">❌ 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>💼 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 • 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;">❌ 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>💰 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>💰 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;">❌ 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 = '🔄';
|
| 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 = '❌';
|
| 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 = '✅';
|
| 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 = '❌';
|
| 1168 |
-
console.error("API call error:", error);
|
| 1169 |
-
|
| 1170 |
-
alert(`❌ 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 |
-
// 解析 JSON 响应的辅助函数
|
| 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 = '✅';
|
| 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>
|
|
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