A Streamlit Cloud app that provides AI-powered healthcare guidance, leveraging a knowledge base curated and managed by medical experts to deliver accurate, up-to-date information and personalized support.
- AI-Powered Assistance: Get accurate medical answers with AI.
- Health Tracking: Track your health progress and get advice on lifestyle changes.
- Personalized Responses: Receive responses based on your specific health queries.
- Knowledge Base: Access a vast repository of medical knowledge about various conditions like celiac disease, gluten intolerance, and more.
- Streamlit: Web application framework for building the interactive UI.
- Transformers: For NLP-based model and AI responses.
- FAISS: For efficient information retrieval from the knowledge base.
- PyTorch: For the underlying deep learning model and inference.
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Install the requirements
$ pip install -r requirements.txt -
Run the app
$ streamlit run streamlit_app.py -
Visit
https://baymaxhealthcarecompanion.streamlit.app/to interact with your healthcare assistant.
Baymax is a lovable and caring healthcare companion designed to comfort and assist those in need. Originally introduced in the animated movie Big Hero 6, Baymax is a friendly, inflatable robot with a deep commitment to helping others. His primary function is to offer medical care and emotional support, ensuring the well-being of those around him. With a gentle personality and an unwavering dedication to health, Baymax has become a symbol of compassion, making him the perfect guide for anyone navigating their wellness journey.
We welcome contributions from the community! If you'd like to improve Baymax, feel free to:
- Fork the repository
- Create a new branch (
git checkout -b feature-name) - Make your changes
- Commit your changes (
git commit -am 'Add new feature') - Push to the branch (
git push origin feature-name) - Create a new Pull Request
This project is licensed under the Apache License - see the LICENSE file for details.
- Streamlit for making web app development simple and fast.
- Transformers by Hugging Face for providing the pre-trained models used in this project.
- FAISS for enabling efficient similarity search and retrieval in the knowledge base.
For any questions or feedback, feel free to reach out.