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https://github.com/tushar2704/insightfuldata
https://github.com/tushar2704/insightfuldata
Last synced: 19 days ago
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- Host: GitHub
- URL: https://github.com/tushar2704/insightfuldata
- Owner: tushar2704
- Created: 2024-11-19T14:01:37.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-19T14:37:22.000Z (about 2 months ago)
- Last Synced: 2024-11-19T15:19:50.902Z (about 2 months ago)
- Size: 2.93 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# InsightfulData
A powerful Retrieval Augmented Generation (RAG) system for comprehensive data analysis and intelligent insights generation.
## 🚀 Features
- Advanced document retrieval and processing
- Intelligent query understanding and response generation
- Multi-format data support (PDF, CSV, TXT, etc.)
- Interactive data visualization
- Custom knowledge base integration
- Real-time analysis capabilities
- API integration support
## 🛠️ Tech Stack
- **Backend**: Python, FastAPI
- **Vector Database**: Pinecone
- **LLM Integration**: OpenAI GPT
- **Embeddings**: Sentence Transformers
- **Frontend**: React with TypeScript
- **Data Processing**: Pandas, NumPy
- **Visualization**: Plotly, D3.js
- **Database**: PostgreSQL
## 📋 Prerequisites
- Python 3.9+
- Node.js 16+
- PostgreSQL 13+
- OpenAI API key
- Pinecone API key
## 🔧 Installation
1. Clone the repository
```bash
git clone https://github.com/tushar2704/InsightfulData.git
cd InsightfulData
```
2. Set up virtual environment
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. Install dependencies
```bash
pip install -r requirements.txt
cd frontend && npm install
```
4. Configure environment variables
```bash
cp .env.example .env
# Edit .env with your API keys and configuration
```
## 🚀 Quick Start
1. Start the backend server
```bash
python run.py
```
2. Launch the frontend application
```bash
cd frontend
npm start
```
3. Access the application at `http://localhost:3000`
## 🔍 Usage
```python
from insightful_data import DataAnalyzer
# Initialize the analyzer
analyzer = DataAnalyzer(api_key="your-api-key")
# Load and process data
analyzer.load_data("path/to/your/data")
analyzer.process()
# Generate insights
results = analyzer.generate_insights()
```
## 📊 Example Analysis
```python
# Perform sentiment analysis
sentiment_results = analyzer.analyze_sentiment(text_data)
# Generate topic clusters
topics = analyzer.generate_topics(document_collection)
# Create visualization
analyzer.visualize(data, chart_type="bar")
```
## 🌟 Key Capabilities
- **Intelligent Data Processing**: Advanced algorithms for data cleaning and preparation
- **Context-Aware Analysis**: Understanding complex relationships in your data
- **Custom Knowledge Integration**: Ability to incorporate domain-specific knowledge
- **Interactive Visualizations**: Dynamic and responsive data visualization
- **Automated Reporting**: Generate comprehensive analysis reports
## 🔐 Security
- End-to-end encryption
- Secure API authentication
- Regular security audits
- GDPR compliance
- Data anonymization options
## 🤝 Contributing
1. Fork the repository
2. Create your feature branch (`git checkout -b feature/AmazingFeature`)
3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
## 📝 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🙏 Acknowledgments
- OpenAI for LLM capabilities
- Pinecone for vector database solutions
- The open-source community
## 📞 Support
- Documentation: [docs.insightfuldata.com](docs.insightfuldata.com)
- Email: [email protected]
- GitHub Issues: For bug reports and feature requests
## 🗺️ Roadmap
- [ ] Advanced NLP capabilities
- [ ] Multi-language support
- [ ] Real-time collaboration features
- [ ] Enhanced visualization options
- [ ] Mobile application development
---
Made with ❤️ by [Tushar Aggarwal]
```
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- Clear project description and features
- Detailed installation instructions
- Usage examples with code snippets
- Security considerations
- Contributing guidelines
- Future roadmap
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