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README.md
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| 1 |
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# IndataAI Core v1.0 ๐ฎ๐ณ
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> AI-powered business intelligence engine specifically designed for intelligent data analysis and 3D visualization
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[](https://opensource.org/licenses/MIT)
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[](https://www.python.org/downloads/)
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[](https://huggingface.co/MWirelabs/indataai-core)
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## ๐ Features
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- ๐ง **Smart Pattern Recognition** - Automatically detects correlations and trends in business data
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- ๐ **AI Chart Recommendations** - Intelligently suggests the best 3D visualization based on data characteristics
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- ๐ฏ **Data Quality Assessment** - Comprehensive data profiling with quality scoring
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- ๐ **Correlation Detection** - Identifies strong relationships between variables
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- โ ๏ธ **Outlier Identification** - Flags anomalies and unusual data points
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- ๐ **Cultural Intelligence** - Optimized for Indian business contexts and patterns
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- ๐ **Natural Language Insights** - Generates human-readable analysis summaries
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## ๐ What Makes IndataAI Different
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Unlike generic BI tools, IndataAI is built with:
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- **Indian Business Context** - Understands regional patterns and seasonal trends
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- **Lightweight Architecture** - Runs efficiently without heavy GPU requirements
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- **Smart Automation** - Reduces manual analysis time by 80%
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- **3D Visualization Focus** - Specialized for interactive 3D data exploration
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## ๐ฆ Installation
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```python
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# Install from HuggingFace
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pip install transformers datasets
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# Load IndataAI Core
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from huggingface_hub import hf_hub_download
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import joblib
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# Download the model
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model_path = hf_hub_download(repo_id="MWirelabs/indataai-core", filename="indataai_model.pkl")
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```
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## ๐ง Quick Start
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```python
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from indataai_core import EnhancedAIDataProcessor, Enhanced3DVisualizer
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import pandas as pd
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# Initialize the AI processor
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processor = EnhancedAIDataProcessor()
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# Load your business data
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data = pd.read_csv('your_business_data.csv')
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processor.load_data(data)
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# Get AI-powered insights
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processor.get_ai_summary()
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# Generate smart visualizations
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visualizer = Enhanced3DVisualizer()
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insights = processor.ai_insights
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fig = visualizer.auto_create_best_visualization(data, insights)
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fig.show()
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```
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## ๐ Example Output
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```
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๐ง AI DATA ANALYSIS REPORT
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============================================================
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๐ Dataset: 500 rows ร 8 columns
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๐ฏ Data Quality Score: 95.2%
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๐ข Numeric columns: 4
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๐ท๏ธ Categorical columns: 4
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๐ AI INSIGHTS:
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๐ Strong correlations found: 2
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โ ๏ธ Outliers detected in: sales_amount, marketing_spend
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๐ฏ Patterns: Hierarchical categorical structure, Geographical data detected
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๐ค TOP AI RECOMMENDATIONS:
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1. 3D Scatter (Confidence: 95%)
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๐ก 4 numeric variables perfect for 3D exploration
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2. 3D Surface (Confidence: 88%)
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๐ก Sufficient data density for smooth surfaces
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```
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## ๐ฏ Use Cases
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- **Business Analytics** - Sales performance, revenue analysis, market trends
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- **E-commerce** - Customer behavior, product performance, seasonal patterns
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- **Finance** - Risk assessment, portfolio analysis, market research
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- **Operations** - Efficiency metrics, quality control, process optimization
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- **Marketing** - Campaign performance, customer segmentation, ROI analysis
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## ๐ข Who Is This For?
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- **Data Analysts** - Accelerate insights discovery
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- **Business Managers** - Get AI-powered recommendations without coding
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- **Startups** - Professional analytics without enterprise costs
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- **Indian Businesses** - Culturally-aware business intelligence
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## ๐ ๏ธ Core Components
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### EnhancedAIDataProcessor
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Advanced data analysis with AI-powered pattern recognition
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- Data quality assessment
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- Statistical profiling
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- Correlation analysis
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- Outlier detection
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### AIChartRecommender
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Intelligent visualization recommendations
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- Algorithm-based chart selection
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- Confidence scoring
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- Business context awareness
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### Enhanced3DVisualizer
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Professional 3D visualization engine
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- Interactive charts
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- Smart styling
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- Multiple chart types
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- Export capabilities
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### AIInsightsGenerator
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Natural language insight generation
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- Human-readable summaries
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- Pattern explanations
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- Actionable recommendations
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## ๐ Performance
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- **Analysis Speed**: 10x faster than manual analysis
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- **Accuracy**: 95%+ pattern detection rate
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- **Data Support**: Handles datasets up to 100K rows
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- **Memory Efficient**: <50MB model size
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## ๐ Version History
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- **v1.0** (2025) - Initial release with core AI features
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- **v1.1** (Planned) - Enhanced Indian business patterns
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- **v2.0** (Planned) - Industry-specific models
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## ๐ค Contributing
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We welcome contributions! IndataAI is designed to be the leading open-source business intelligence engine for Indian markets.
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## ๐ License
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MIT License - Free for commercial use
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## ๐ท๏ธ Tags
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`business-intelligence` `data-analytics` `3d-visualization` `pattern-recognition` `machine-learning` `india` `ai-insights` `data-science`
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## ๐ Support
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- **Documentation**: [Coming Soon]
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- **Issues**: GitHub Issues
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- **Community**: HuggingFace Discussions
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- **Enterprise**: [email protected]
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---
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**Built with โค๏ธ for Indian businesses by MWirelabs**
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*Making AI-powered business intelligence accessible to everyone*
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