{"data":{"full_name":"Aashay30/Medical_Chatbot","name":"Medical_Chatbot","description":"This project is an interactive medical chatbot that uses NLP and information retrieval to answer queries from PDFs. It processes and embeds text using Hugging Face and LangChain, stores data in Pinecone for fast retrieval, and delivers real-time responses via a Flask-based interface.","stars":0.0,"forks":0.0,"language":"Jupyter Notebook","license":"MIT","archived":0.0,"subcategory":"medical-rag-chatbots","last_pushed_at":"2025-06-15T18:52:55+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":2.0,"adoption_score":0.0,"maturity_score":11.0,"community_score":0.0,"quality_score":13.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-16T00:25:53.564465+00:00"}}