IndataAI Core v1.0 ๐Ÿ‡ฎ๐Ÿ‡ณ

AI-powered business intelligence engine specifically designed for intelligent data analysis and 3D visualization

License: MIT Python 3.7+ HuggingFace

๐Ÿš€ Features

  • ๐Ÿง  Smart Pattern Recognition - Automatically detects correlations and trends in business data
  • ๐Ÿ“Š AI Chart Recommendations - Intelligently suggests the best 3D visualization based on data characteristics
  • ๐ŸŽฏ Data Quality Assessment - Comprehensive data profiling with quality scoring
  • ๐Ÿ“ˆ Correlation Detection - Identifies strong relationships between variables
  • โš ๏ธ Outlier Identification - Flags anomalies and unusual data points
  • ๐ŸŒŸ Cultural Intelligence - Optimized for Indian business contexts and patterns
  • ๐Ÿ” Natural Language Insights - Generates human-readable analysis summaries

๐Ÿ† What Makes IndataAI Different

Unlike generic BI tools, IndataAI is built with:

  • Indian Business Context - Understands regional patterns and seasonal trends
  • Lightweight Architecture - Runs efficiently without heavy GPU requirements
  • Smart Automation - Reduces manual analysis time by 80%
  • 3D Visualization Focus - Specialized for interactive 3D data exploration

๐Ÿ“ฆ Installation

# Install from HuggingFace
pip install transformers datasets

# Load IndataAI Core
from huggingface_hub import hf_hub_download
import joblib

# Download the model
model_path = hf_hub_download(repo_id="MWirelabs/indataai-core", filename="indataai_model.pkl")

๐Ÿ”ง Quick Start

from indataai_core import EnhancedAIDataProcessor, Enhanced3DVisualizer
import pandas as pd

# Initialize the AI processor
processor = EnhancedAIDataProcessor()

# Load your business data
data = pd.read_csv('your_business_data.csv')
processor.load_data(data)

# Get AI-powered insights
processor.get_ai_summary()

# Generate smart visualizations
visualizer = Enhanced3DVisualizer()
insights = processor.ai_insights
fig = visualizer.auto_create_best_visualization(data, insights)
fig.show()

๐Ÿ“Š Example Output

๐Ÿง  AI DATA ANALYSIS REPORT
============================================================
๐Ÿ“Š Dataset: 500 rows ร— 8 columns
๐ŸŽฏ Data Quality Score: 95.2%
๐Ÿ”ข Numeric columns: 4
๐Ÿท๏ธ Categorical columns: 4

๐Ÿ” AI INSIGHTS:
   ๐Ÿ“ˆ Strong correlations found: 2
   โš ๏ธ Outliers detected in: sales_amount, marketing_spend
   ๐ŸŽฏ Patterns: Hierarchical categorical structure, Geographical data detected

๐Ÿค– TOP AI RECOMMENDATIONS:
   1. 3D Scatter (Confidence: 95%)
      ๐Ÿ’ก 4 numeric variables perfect for 3D exploration
   2. 3D Surface (Confidence: 88%)
      ๐Ÿ’ก Sufficient data density for smooth surfaces

๐ŸŽฏ Use Cases

  • Business Analytics - Sales performance, revenue analysis, market trends
  • E-commerce - Customer behavior, product performance, seasonal patterns
  • Finance - Risk assessment, portfolio analysis, market research
  • Operations - Efficiency metrics, quality control, process optimization
  • Marketing - Campaign performance, customer segmentation, ROI analysis

๐Ÿข Who Is This For?

  • Data Analysts - Accelerate insights discovery
  • Business Managers - Get AI-powered recommendations without coding
  • Startups - Professional analytics without enterprise costs
  • Indian Businesses - Culturally-aware business intelligence

๐Ÿ› ๏ธ Core Components

EnhancedAIDataProcessor

Advanced data analysis with AI-powered pattern recognition

  • Data quality assessment
  • Statistical profiling
  • Correlation analysis
  • Outlier detection

AIChartRecommender

Intelligent visualization recommendations

  • Algorithm-based chart selection
  • Confidence scoring
  • Business context awareness

Enhanced3DVisualizer

Professional 3D visualization engine

  • Interactive charts
  • Smart styling
  • Multiple chart types
  • Export capabilities

AIInsightsGenerator

Natural language insight generation

  • Human-readable summaries
  • Pattern explanations
  • Actionable recommendations

๐Ÿ“ˆ Performance

  • Analysis Speed: 10x faster than manual analysis
  • Accuracy: 95%+ pattern detection rate
  • Data Support: Handles datasets up to 100K rows
  • Memory Efficient: <50MB model size

๐Ÿ”„ Version History

  • v1.0 (2025) - Initial release with core AI features
  • v1.1 (Planned) - Enhanced Indian business patterns
  • v2.0 (Planned) - Industry-specific models

๐Ÿค Contributing

We welcome contributions! IndataAI is designed to be the leading open-source business intelligence engine for Indian markets.

๐Ÿ“„ License

MIT License - Free for commercial use

๐Ÿท๏ธ Tags

business-intelligence data-analytics 3d-visualization pattern-recognition machine-learning india ai-insights data-science

๐Ÿ“ž Support

  • Documentation: [Coming Soon]
  • Issues: GitHub Issues
  • Community: HuggingFace Discussions
  • Enterprise: [email protected]

Built with โค๏ธ for Indian businesses by MWirelabs

Making AI-powered business intelligence accessible to everyone

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