CVD Detection and Correction Mobile Application

A comprehensive mobile application for Cardiovascular Disease (CVD) detection and correction using AI models, built with React Native frontend and FastAPI backend.

Project Structure

CVD-detection-and-correction/
├── mobile-app/          # React Native mobile application
├── backend/             # FastAPI backend server
├── docs/               # Documentation
└── README.md           # This file

Features

• Mobile application for CVD detection
• AI model integration (planned)
• Real-time feedback system with Kafka (planned)
• User-friendly interface
• Secure API endpoints

Quick Start

Prerequisites

• Node.js (v16 or higher)
• Python 3.8+
• Android Studio (for Android development)
• Xcode (for iOS development, macOS only)
• React Native CLI

Backend Setup

cd backend
pip install -r requirements.txt
uvicorn main:app --reload

Mobile App Setup

cd mobile-app
npm install
# For Android
npx react-native run-android
# For iOS
npx react-native run-ios

Development

• Backend API will be available at http://localhost:8000
• Mobile app will connect to the backend API
• API documentation available at http://localhost:8000/docs

Future Enhancements

• AI model integration for CVD detection
• Kafka implementation for real-time feedback
• Advanced analytics and reporting
• Multi-language support