NeuraCare: AI-based Virtual Health Assistant

NeuraCare is a federated learning-driven virtual health assistant designed to provide personalized healthcare support while maintaining data privacy. The system leverages natural language processing (NLP) and machine learning within a secure, decentralized framework to deliver health advice, symptom tracking, and medication reminders without compromising sensitive user data.

🚀 Latest Release

Version: v1.0.0
📦 Download APK

Features

• AI-Powered Health Assistant: Chat with an intelligent virtual assistant trained on medical knowledge
• Symptom Tracking: Monitor and analyze symptoms over time
• Medication Reminders: Never miss important medications
• Personalized Health Insights: Receive tailored health recommendations

Technology Stack

• Frontend: React Native with Expo Go
• UI Framework: React Native components
• Backend Integration: Firebase, Realm
• AI: Google Generative AI
• Storage: Secure on-device storage with encryption

Getting Started

Prerequisites

• Node.js (LTS version recommended)
• npm or yarn
• Expo CLI (npm install -g expo-cli)

Installation

1. Clone the repository

   git clone https://github.com/yourusername/NeuraCare.git
   cd NeuraCare

2. Install dependencies

   npm install

3. Set up environment variables

   cp .env.sample .env

   Then edit the .env file with your API keys and configuration

4. Start the development server

   npx expo start

Development

The app uses Expo Router for navigation with the following structure:

• app/ - Main application code and routes
• components/ - Reusable UI components
• constants/ - App constants and configuration
• hooks/ - Custom React hooks
• services/ - API and backend services

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

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

Acknowledgments

• Medical datasets used for training (with proper licensing)
• Open-source libraries that made this project possible
• Healthcare professionals who provided domain expertise