Welcome to Medical-Chatbot-Gen-AI, a sophisticated medical chatbot built using Python, Llama3, Langchain, Flask, and Retrieval-Augmented Generation (RAG) architecture. This project aims to provide an interactive platform where users can get medical-related advice and information through an AI-powered chatbot. The chatbot is integrated with the Llama3 model and utilizes RAG for enhanced responses based on a large corpus of medical knowledge.

• AI-Powered Medical Chatbot

  • Provides medical advice and information based on user queries.
  • Utilizes advanced AI techniques to improve accuracy and relevance.

• Llama3 Integration

  • Uses the Llama3 model for generating natural language responses with medical knowledge.
  • Llama3 powers the core of the chatbot’s ability to answer complex queries.

• Langchain Support

  • Utilizes Langchain to manage conversational flows and integrate multiple tools for a seamless user experience.

• Retrieval-Augmented Generation (RAG)

  • Enhances the chatbot’s capabilities by retrieving relevant information from a medical knowledge base and generating context-aware responses.

• Flask Web Interface

  • A simple and intuitive Flask-based web interface to interact with the chatbot.

• Medical Knowledge Base

  • Integration with publicly available medical datasets or custom medical knowledge bases for accurate and reliable information.

• Python: The core programming language for building the application.
• Flask: Web framework to deploy the chatbot and provide the web interface.
• Llama3: A powerful language model for generating AI-driven responses.
• Langchain: Tool for managing conversational workflows and integrating external data sources.
• RAG (Retrieval-Augmented Generation): A technique to retrieve relevant information from a knowledge base for more accurate responses.
• Medical Knowledge Base: The backend database for storing medical information (can be customized).

Before you begin, ensure you have the following installed:

1. Python 3.x
2. pip for package management
3. Flask
4. Langchain
5. Llama3 (or your preferred model)
6. OpenAI or any other LLM API key (for integration)

Follow the steps below to set up the project on your local machine.

git clone https://github.com/zeeshanali90233/Medical-Chatbot-Gen-AI.git
cd Medical-Chatbot-Gen-AI