AI-powered health tracking platform built for the KIRO IDE Hackathon
🏆 Built with KIRO IDE - A comprehensive health tracking app that combines substance logging, wearable integration, and AI-powered insights to help users make informed health decisions.
BioReceipt.AI is a mobile-first health tracking platform that revolutionizes how users monitor and understand their health data. Built during the KIRO IDE Hackathon, this app combines cutting-edge AI personalization with comprehensive health tracking to deliver actionable insights.
🎯 Mission: Empower users to make informed health decisions through intelligent data tracking and AI-powered personalization.
- 6 AI Provider Integration - OpenAI, Anthropic, Google, Hugging Face, Ollama, Local Llama
- Personalized Health Tips - AI-curated recommendations based on user patterns
- Predictive Analytics - Trend forecasting and health insights
- BioReceipt AI Engine - Custom health analysis and safety alerts
- Substance Intake Logging - Track medications, supplements, food, and beverages
- Custom Substance Creation - Add personalized tracking categories
- Photo Attachments - Visual logging with optimized image handling
- Wearable Integration - Apple Health & Google Fit connectivity
- Medication Reminders - Smart scheduling with custom alerts
- Offline-First Architecture - Full functionality without internet
- Real-Time Sync - Seamless data synchronization across devices
- Accessibility Compliant - WCAG 2.1 AA standards with screen reader support
- Performance Optimized - Lazy loading, caching, and memory management
- Dark/Light Themes - Adaptive UI with user preferences
- HIPAA Compliance - Healthcare-grade data protection
- End-to-End Encryption - AES-256 encryption at rest and in transit
- Row-Level Security - Granular data access controls
- Audit Logging - Comprehensive security event tracking
- Real-Time Dashboard - Live health metrics and trends
- Progress Tracking - Streaks, achievements, and goal monitoring
- Feedback System - User ratings and sentiment analysis
- Admin Analytics - Comprehensive reporting and user insights
| Category | Technology |
|---|---|
| Frontend | React Native, TypeScript, Expo |
| Backend | Supabase (PostgreSQL + Auth) |
| AI/ML | Multi-provider AI integration |
| State Management | React Context + Custom Hooks |
| Storage | Supabase + Local Caching |
| Testing | Jest, React Native Testing Library |
| Development | KIRO IDE, Metro Bundler |
- Node.js 18+
- React Native CLI
- Expo CLI
- Supabase account
# Clone the repository
git clone https://github.com/yourusername/BioReceipt-ai.git
cd BioReceipt-ai
# Install dependencies
npm install
# Set up environment variables
cp .env.example .env
# Add your Supabase URL and API keys
# Set up database
# Run the SQL schema in your Supabase dashboard
# File: database/supabase-production-schema.sql
# Start the development server
npx expo start
# Run on iOS
npx expo run:ios
# Run on Android
npx expo run:android- Create a new Supabase project
- Copy the contents of
database/supabase-production-schema.sql - Paste and run in your Supabase SQL editor
- Update your
.envfile with Supabase credentials
- BioReceiptApp - Main application container
- IntakeLoggingScreen - Substance tracking interface
- PersonalizedTipsScreen - AI-powered recommendations
- BioReceiptInsightsScreen - Analytics and trends
- MyDayScreen - Daily overview and quick actions
- BioReceipt AI Service - Core AI processing engine
- Multi-Provider AI Service - Failover AI provider management
- Personalization Engine - User behavior analysis
- Predictive Analytics - Health trend forecasting
- 13 Database Tables - Comprehensive data modeling
- Row-Level Security - User data isolation
- Real-Time Subscriptions - Live data updates
- Offline Sync - Conflict resolution and queuing
# Run all tests
npm test
# Run integration tests
npm run test:integration
# Run performance tests
npm run test:performance
# Test database connection
node test-supabase-connection.js- Unit Tests - Component and service testing
- Integration Tests - End-to-end workflow testing
- Performance Tests - Memory and speed optimization
- Accessibility Tests - WCAG compliance verification
- Behavioral Analysis - User pattern recognition
- Content Curation - Personalized health tip delivery
- Risk Assessment - Safety alert generation
- Trend Prediction - Health outcome forecasting
- Optimized Upload - Progressive image loading
- Offline Queue - Background sync when connected
- Accessibility - Screen reader descriptions
- Performance - Memory-efficient image handling
- 21 Pre-defined Substances - Common medications and supplements
- Custom Categories - User-defined tracking items
- Smart Suggestions - AI-powered recommendations
- Intake History - Comprehensive logging and analytics
EXPO_PUBLIC_SUPABASE_URL=your_supabase_url
EXPO_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
OPENAI_API_KEY=your_openai_key
ANTHROPIC_API_KEY=your_anthropic_keyConfigure multiple AI providers for redundancy:
- OpenAI GPT-4
- Anthropic Claude
- Google Gemini
- Hugging Face Models
- Local Ollama
- Custom Local Models
- 90%+ Cache Hit Ratio - Optimized data retrieval
- <100ms Response Time - Lightning-fast UI interactions
- Offline-First - Full functionality without internet
- Memory Efficient - Optimized for mobile devices
- Battery Optimized - Minimal background processing
We welcome contributions! Please see our Contributing Guide for details.
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests for new functionality
- Submit a pull request
This project is licensed under the MIT License - see the LICENSE file for details.
- KIRO IDE Team - For the amazing development platform
- Supabase - For the robust backend infrastructure
- React Native Community - For the excellent mobile framework
- AI Provider Teams - For making advanced AI accessible
- Documentation: Wiki
- Issues: GitHub Issues
- Discussions: GitHub Discussions
Built with ❤️ using KIRO IDE