AI Healthcare Chatbot

This project is an AI-powered healthcare chatbot designed to assist users by answering health-related queries, analyzing symptoms, and providing preliminary medical insights. It integrates a pre-trained AI model (Flan-T5-Large) along with a medical knowledge base to enhance response accuracy.

Features

• Provides AI-generated responses to health-related queries
• Uses a predefined medical knowledge base for instant answers
• Utilizes natural language processing (NLP) for better understanding
• Built using the Streamlit framework for a user-friendly interface
• Includes logging and error handling for debugging and monitoring

Installation and Setup

1. Clone the Repository
   git clone https://github.com/Agent-A345/AI-Healthcare-Chatbot.git
   cd AI-Healthcare-Chatbot
   

2. Create a Virtual Environment (Optional)
   python -m venv chatbot_env
   

   Activate the virtual environment:
   

   • On macOS/Linux: source chatbot_env/bin/activate
     
   • On Windows: chatbot_env\Scripts\activate
     

3. Install Dependencies
   pip install -r requirements.txt
   

4. Run the Chatbot
   streamlit run app.py
   

Technologies Used

• Python 3.x
• Streamlit (For user interface)
• Transformers (For AI model integration)
• PyTorch (For deep learning)
• Logging module (For error handling and debugging)

How It Works

• The user enters a health-related query in the chatbot.
• The chatbot first checks the predefined medical knowledge base for an instant response.
• If the query is not found in the knowledge base, it is processed by the Flan-T5-Large model.
• The model generates a context-aware medical response using NLP techniques.
• The response is displayed in the Streamlit UI.

Future Enhancements

• Implementing voice input for hands-free interaction
• Adding multilingual support for better accessibility
• Integrating with external medical APIs for real-time data retrieval
• Developing a mobile application for better accessibility

License

This project is licensed under the Apache License 2.0