A comprehensive medical tracking system for monitoring Parkinson's disease patients, featuring a web dashboard for doctors, real-time data processing, and secure data storage.
The system consists of several microservices:
- Web Dashboard (
web_app) - Next.js frontend for doctors - Backend API (
backend) - FastAPI service handling authentication and data - Processing Service (
processing) - ML-based analysis of patient data - Database (
database) - PostgreSQL database with medical records - Nginx (
nginx) - Reverse proxy for routing requests
- Docker and Docker Compose
- Node.js 19+ (for local development)
- Python 3.9+ (for local development)
- PostgreSQL 13+ (for local development)
- Clone the repository:
git clone [email protected]:omkar-79/parkinson-app.git
cd parkinson-tracking-system- Start the services using Docker Compose:
cd backend
docker-compose build
docker-compose up -d- The following services will be available:
- Web Dashboard: http://localhost:3000
- Backend API: http://localhost:8000
- Database: localhost:5432
cd web_app
npm install
npm run dev-
Doctor Dashboard
- Patient management
- Real-time data visualization
- Test results tracking
- Secure authentication
-
Patient Data Processing
- Clock Drawing Test (CDT) analysis
- Speech processing
- Movement analysis
- Real-time scoring
-
Security
- JWT-based authentication
- Role-based access control
- Encrypted data storage
The backend API documentation is available at:
- Swagger UI: http://localhost:8000/docs
The PostgreSQL database includes tables for:
- Doctors
- Patients
- Test Records
- Images
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
Your Name - [email protected] Project Link: https://github.com/omkar-79/parkinson-app