Parkinson's Tracking System

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.

Youtube Video Link:- https://youtu.be/uiO4Wf9B4lc

System Architecture

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

Getting Started

Prerequisites

• Docker and Docker Compose
• Node.js 19+ (for local development)
• Python 3.9+ (for local development)
• PostgreSQL 13+ (for local development)

Installation

1. Clone the repository:

git clone https://github.com/omkar-79/parkinson-app.git
cd parkinson-tracking-system

2. Start the services using Docker Compose:

cd backend
docker-compose build
docker-compose up -d

3. The following services will be available:

• Web Dashboard: http://localhost:3000
• Backend API: http://localhost:8000
• Database: localhost:5432

Development Setup

Web Dashboard

cd web_app
npm install
npm run dev

Features

• 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

Database Schema

The PostgreSQL database includes tables for:

• Doctors
• Patients
• Test Records
• Images