Medical Chatbot with Generative AI

Project Description

This project is an end-to-end medical chatbot powered by Generative AI. The chatbot is designed to assist users with medical-related queries by leveraging advanced natural language processing (NLP) techniques. It uses a combination of Pinecone for vector storage, OpenAI for language generation, and various other technologies to provide accurate and concise answers to user questions.

Technologies Used

• Python: The core programming language used for development.
• Flask: A lightweight WSGI web application framework for serving the chatbot.
• Pinecone: A vector database for storing and querying embeddings.
• OpenAI: For generating responses to user queries.
• LangChain: For managing the interaction between the chatbot and the vector database.
• Hugging Face Transformers: For embedding generation.
• Bootstrap: For responsive and modern UI design.
• jQuery: For handling AJAX requests and DOM manipulation.

Screenshot

How to Run/Use This Project

Steps:

1. Clone the Repository

   git clone https://github.com/Rayyan9477/End-to-End-Medical-Chatbot-Gen-AI.git
   cd End-to-End-Medical-Chatbot-Gen-AI

2. Create a Conda Environment

   conda create -n medibot python=3.12 -y
   conda activate medibot

3. Install Dependencies

   pip install -r requirements.txt

4. Set Up Environment Variables

   Replace the placeholder API keys in the app.py and store_index.py files

   PINECONE_API_KEY=your_pinecone_api_key
   OPENAI_API_KEY=your_openai_api_key
   

5. Run the Application

   python app.py

6. Access the Chatbot

   Open your web browser and go to http://localhost:8080 to start using the chatbot.

Replace API Keys

Replace the placeholder API keys in the app.py file

PINECONE_API_KEY=your_pinecone_api_key
OPENAI_API_KEY=your_openai_api_key

Contact Me

• GitHub: Rayyan9477
• LinkedIn: Rayyan Ahmed
• Email: [email protected]