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AI Medical Chatbot (Vision & Voice)

AI Medical Chatbot is an end-to-end, open-source healthcare assistant leveraging multimodal AI for vision, text, and voice. Built using 100% free tools.

Features

  • Meta Llama3 Vision 90B: Advanced multimodal LLM for image & text understanding
  • OpenAI Whisper: Accurate speech-to-text conversion
  • gTTS & ElevenLabs: Realistic text-to-speech capabilities
  • Gradio App: Seamless chat interface with vision and voice support

Technical Architecture

Technical Architecture

Project Phases and Python Commands

Phase 1: Brain of the doctor

python brain.py

Phase 2: Voice of the patient

python patient_query.py

Phase 3: Voice of the doctor

python doctor_response.py

Phase 4: Setup Gradio UI

python gradio_app.py

🧭 Clone the Project

To get started, clone this repository to your local machine using Git:

git clone https://github.com/AdritPal08/AI-Medical-Chatbot-Vision-Voice-.git

Then navigate to the project directory:

cd AI-Medical-Chatbot-Vision-Voice-

🐍 Setting Up a Python Virtual Environment

You can use Pipenv, pip + venv, Conda, or UV depending on your preference.

⚙️ Using Pipenv

  1. Install Pipenv (if not already installed):
   pip install pipenv
  1. Install Dependencies with Pipenv:
   pipenv install
  1. Activate the Virtual Environment:
   pipenv shell

🧱 Using pip and venv

  1. Create a Virtual Environment:
   python -m venv venv
  1. Activate the Virtual Environment:
  • macOS/Linux:
   source venv/bin/activate
  • Windows:
   venv\Scripts\activate
  1. Install Dependencies:
   pip install -r requirements.txt

🧬 Using Conda

  1. Create a Conda Environment:
   conda create --name myenv python=3.11
  1. Activate the Conda Environment:
   conda activate myenv
  1. Install Dependencies:
   pip install -r requirements.txt

⚡ Using UV (Fast Python Package Manager)

  1. Install UV:
   pip install uv
  1. Create a Virtual Environment:
   uv venv
  1. Activate the Virtual Environment:
  • macOS/Linux:
   source .venv/bin/activate
  • Windows:
   .venv\Scripts\activate
  1. Install Dependencies:
   uv pip install -r requirements.txt

🤝 Contributing

Contributions are welcome! If you have ideas, improvements, or bug fixes, feel free to open an issue or submit a pull request.

📜 License

This project is licensed under the GNU GENERAL PUBLIC LICENSE Version 3.

⭐ Support & Feedback

If you like this project, don't forget to ⭐ star the repository!

For feedback and inquiries, contact LinkedIn.

Developed by Adrit Pal 🚀