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a data-driven civic-tech platform that analyzes MMTS train schedules to provide: intelligent route planning, congestion and peak-hour analysis, train frequency insights
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a data-driven civic-tech platform that analyzes MMTS train schedules to provide: intelligent route planning, congestion and peak-hour analysis, train frequency insights
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This project is a RAG-based chatbot developed using Streamlit and Python. The chatbot provides information about temple culture and traditions using Retrieval-Augmented Generation (RAG). Features:
Interactive chatbot interface Retrieval-based response generation Streamlit frontend Document-based querying Easy-to-use UI
Tech Stack:
Python Streamlit LangChain Hugging Face / FAISS
How to Run:
Install dependencies using requirements.txt Run the application using: streamlit run app.py
Future Improvements:
Add multilingual support Improve response accuracy Add voice interaction support
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