πŸ€– MediBot AI – AI-Powered Medical Chatbot

Aniket Panchal

Hugging face Profile

πŸš€ Overview

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.

✨ Key Features

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

πŸ“Š Demo

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

πŸ› οΈ Technologies Used

Python 🐍
Streamlit 🌐
Hugging Face API πŸ€—
LangChain πŸ”—
Pinecone (Vector Database) πŸ“š
LLaMA (Large Language Model) 🧠
Pandas & NumPy πŸ“Š
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Posted Feb 13, 2025

AI-powered medical chatbot that provides users with information about medical conditions, symptoms, and treatments. It leverages NLP, ML, and LLM skills.

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