Application Link

Developed an AI-powered medical chatbot using a custom Large Language Model (LLM) hosted on Hugging Face. Built a Streamlit-based interface for seamless user interaction. Integrated LangChain for context-aware responses and Pinecone for efficient vector storage. The chatbot provides real-time medical information on symptoms, conditions, and treatments using NLP & ML techniques.

⚠️ Disclaimer: MediBot AI provides general medical information and is not a substitute for professional medical advice. Always consult a healthcare provider for medical concerns.

✅ Custom LLM Model – Utilizes a custom Large Language Model hosted on Hugging Face for precise medical responses. ✅ Streamlit Interface – Simple and interactive web-based UI for smooth user interactions. ✅ Hugging Face Integration – Secure model authentication via Hugging Face credentials. ✅ LangChain for Context Management – Handles chat history and improves context-aware responses. ✅ Pinecone for Vector Storage – Stores embeddings for efficient retrieval of relevant medical information.

🔗 Live Demo: [Hugging Face Space](https://huggingface.co/spaces/GoodML/MediBotAI)

Python 🐍

Streamlit 🌐

Hugging Face API 🤗

LangChain 🔗

Pinecone (Vector Database) 📚

LLaMA (Large Language Model) 🧠

Pandas & NumPy 📊