🕰️ TCWIN – Temporal Cultural Wisdom Intelligence Network

TCWIN is an open-source Streamlit app that uses AI and data science to explore, analyze, and visualize 3,500+ years of Indian cultural heritage—combining Sanskrit NLP, machine learning, and interactive dashboards.

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🚀 Quick Start

1. Clone the Repository

git clone https://github.com/yourusername/tcwin.git cd tcwin

2. Set Up Your Environment

It’s recommended to use a virtual environment: python -m venv venv

Windows: venv\Scripts\activate

macOS/Linux: source venv/bin/activate

3. Install Requirements

pip install -r requirements.txt

4. Run the App

streamlit run tcwin_dashboard.py

• If you want to access from other devices on your network, use: streamlit run tcwin_dashboard.py --server.address 0.0.0.0

• Then open http://localhost:8501 (or http://<your-ip>:8501) in your browser.

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🧭 What Can You Do With TCWIN?

• 🧠 Analyze Sanskrit texts with AI-powered NLP
• 🔗 Visualize knowledge graphs of cultural concepts and practices
• 📊 Explore timelines of Indian cultural evolution
• 🤖 Cluster and classify texts and traditions using ML
• 💡 Get recommendations and preservation risk insights

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🛠️ Troubleshooting

• Blank page?
  
• Make sure your terminal shows “Running on ...:8501” with no errors.
• Try a different browser or incognito mode.
• Clear your browser cache.
• If you’re on a remote machine, check your firewall allows port 8501.
• Test with:
  streamlit hello If this is also blank, reinstall Streamlit.

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🤝 Contributing

All contributions are welcome!

• Fork, branch, and submit a pull request.
• Open issues for bugs, ideas, or questions.

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🌏 License

This project is fully open source and unlicensed.
You may use, modify, distribute, and build upon this code for any purpose, without restriction.

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Enjoy exploring Indian cultural wisdom with data science!

Built With

• jupyter-notebook
• python