A machine learning application to detect leukemia from blood samples, with a web interface for doctors and lab technicians.
- Detects leukemia from uploaded blood sample images.
- Provides a user-friendly web interface.
- Uses deep learning models for accurate predictions.
- Dashboard for patient management.
- Clone the repository:
- Navigate to the backend folder and install dependencies: cd backend pip install -r requirements.txt
- Run the backend server: python app.py
- Navigate to the frontend folder and install dependencies: cd frontend npm install npm run dev
- Open
http://localhost:5173in your browser.
- Open the app in your browser.
- Upload a blood sample image.
- Click "Predict" to see if leukemia is detected.
- View patient history on the dashboard.
- Python, Flask (backend)
- JavaScript, React (frontend)
- PyTorch (deep learning models)
- Supabase (database)
MIT License Copyright (c) 2025 Yonis Yare