https://github.com/zeeshanali90233/medical-chatbot-gen-ai

Medical-Chatbot-Gen-AI is an AI-driven chatbot built with Python, Llama3, Langchain, and Flask, providing users with accurate, context-aware medical advice through advanced AI models and a vast knowledge base.
https://github.com/zeeshanali90233/medical-chatbot-gen-ai

chatbot flask langchain llama medical pip python3 rag

Last synced: about 2 months ago
JSON representation

Medical-Chatbot-Gen-AI is an AI-driven chatbot built with Python, Llama3, Langchain, and Flask, providing users with accurate, context-aware medical advice through advanced AI models and a vast knowledge base.

• Host: GitHub
• URL: https://github.com/zeeshanali90233/medical-chatbot-gen-ai
• Owner: zeeshanali90233
• Created: 2024-08-13T21:44:28.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2025-01-16T17:52:55.000Z (4 months ago)
• Last Synced: 2025-01-16T19:06:46.286Z (4 months ago)
• Topics: chatbot, flask, langchain, llama, medical, pip, python3, rag
• Language: Jupyter Notebook
• Homepage: https://www.youtube.com/@learnwithaliengineer
• Size: 55.4 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

Awesome Lists containing this project

README

        
# Medical-Chatbot-Gen-AI 🏥🤖

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.

## Features 🌟

- **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.

## Tech Stack 🛠️

- **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).  

## Prerequisites 📝

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)**  

## Installation 🚀

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

### 1. Clone the Repository

```bash

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

cd Medical-Chatbot-Gen-AI