EquiHealth - Healthcare Disease Prediction Platform

Overview

EquiHealth is a comprehensive healthcare platform that combines modern web technologies with machine learning to predict and manage diseases. The system serves different user roles including patients, doctors, and administrators, providing tailored experiences for each.

MVP Screenshots

Landing Page

User Dashboard

Doctor Dashboard

Appointment Booking Interface

Architecture Diagram

Process Flow Diagram

Features

Technical Features

Category	Feature	Description
Frontend	React + TypeScript	Modern, type-safe UI development
	Vite	Fast development and build tooling
	Tailwind CSS	Utility-first CSS framework
	React Router	Client-side routing
	Context API	State management
Backend	Hono.js	Fast, lightweight web framework
	Prisma ORM	Type-safe database operations
	JWT Auth	Secure authentication
	REST API	Standard API architecture
ML Module	Python	Core ML implementation
	Jupyter	Model development environment
	Disease Prediction	ML-based symptom analysis

User Features

• User Authentication and Role Management

  • Secure login and registration
  • Role-based access control
  • JWT-based session management

• Disease Prediction

  • ML-based symptom analysis
  • Real-time predictions
  • Historical prediction tracking

• Patient Dashboard

  • Health information tracking
  • Appointment management
  • Doctor communication
  • Prediction history

• Doctor Dashboard

  • Patient management
  • Case review system
  • Appointment scheduling
  • Medical advice provision

• Admin Dashboard

  • User management
  • System monitoring
  • Content management
  • Analytics dashboard

Project Structure

EquiHealth/
├── frontend/                 # React + TypeScript frontend
│   ├── src/
│   │   ├── components/      # Reusable UI components
│   │   ├── pages/          # Page components
│   │   ├── context/        # React context providers
│   │   ├── hooks/          # Custom React hooks
│   │   ├── utils/          # Utility functions
│   │   └── types/          # TypeScript type definitions
│   ├── public/             # Static assets
│   └── tests/              # Frontend tests
│
├── backend/                 # Hono.js backend
│   ├── src/
│   │   ├── routes/         # API route handlers
│   │   ├── middleware/     # Custom middleware
│   │   ├── utils/          # Utility functions
│   │   └── types/          # TypeScript type definitions
│   ├── prisma/             # Database schema and migrations
│   └── tests/              # Backend tests
│
└── Prediction/             # ML module
    ├── models/             # Trained ML models
    ├── notebooks/          # Jupyter notebooks
    └── scripts/            # Python scripts

Project Index

Frontend Files

• src/components/ - Reusable UI components

  • Layout.tsx - Main application layout
  • Header.tsx - Navigation header
  • Footer.tsx - Page footer
  • dashboard/ - Dashboard-specific components
  • auth/ - Authentication components

• src/pages/ - Page components

  • Landing.tsx - Homepage
  • Dashboard.tsx - User dashboard
  • DoctorDashboard.tsx - Doctor interface
  • AdminDashboard.tsx - Admin interface

• src/context/ - React context providers

  • AuthContext.tsx - Authentication state
  • ThemeContext.tsx - UI theme management

Backend Files

• src/routes/ - API endpoints

  • user.ts - User-related endpoints
  • doctor.ts - Doctor-related endpoints
  • admin.ts - Admin-related endpoints

• prisma/ - Database

  • schema.prisma - Database schema
  • migrations/ - Database migrations

ML Module Files

• DiseasePrediction/ - ML implementation
  • app.py - Flask API for predictions
  • model.py - ML model implementation
  • utils.py - Helper functions

Getting Started

Prerequisites

• Node.js (v16+)
• npm or yarn
• Python 3.8+
• PostgreSQL

Frontend Setup

cd frontend
npm install
npm run dev

Backend Setup

cd backend
npm install
npm run dev

ML Module Setup

cd Prediction
pip install -r requirements.txt
python app.py

API Documentation

Authentication Endpoints

• POST /api/v1/auth/register - User registration
• POST /api/v1/auth/login - User login
• POST /api/v1/auth/logout - User logout

User Endpoints

• GET /api/v1/user/profile - Get user profile
• PUT /api/v1/user/profile - Update user profile
• GET /api/v1/user/appointments - Get user appointments

Doctor Endpoints

• GET /api/v1/doctor/patients - Get doctor's patients
• POST /api/v1/doctor/appointments - Create appointment
• PUT /api/v1/doctor/appointments/:id - Update appointment

Admin Endpoints

• GET /api/v1/admin/users - Get all users
• PUT /api/v1/admin/users/:id - Update user
• DELETE /api/v1/admin/users/:id - Delete user

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

• Email: equihealthh@gmail.com