A sophisticated Progressive Web Application that applies chemical engineering optimization principles and mathematical modeling to personal wellness tracking and analytics.
This project demonstrates the application of process optimization, data analytics, and systems engineering principles to wellness management:
- Process Optimization: Goal achievement algorithms using gradient descent and constraint optimization
- Statistical Process Control: Trend analysis and variance detection in wellness metrics
- Mathematical Modeling: Predictive analytics for habit formation and progress forecasting
- Data Visualization: Interactive charts showing process variables and control limits
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ React Client │◄──►│ Firebase Cloud │◄──►│ Analytics API │
│ (Next.js 14) │ │ Firestore │ │ (Custom) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Service Worker │ │ Real-time DB │ │ Optimization │
│ (Offline) │ │ Synchronization│ │ Algorithms │
└─────────────────┘ └──────────────────┘ └─────────────────┘
- Frontend: Next.js 14, TypeScript, React 18
- Styling: Tailwind CSS, CSS-in-JS for animations
- Database: Firebase Firestore (NoSQL, real-time)
- Analytics: Recharts, Custom mathematical models
- PWA: Service Workers, Workbox, Offline functionality
- Deployment: Firebase Hosting, GitHub Actions CI/CD
// Simplified optimization function
const optimizeGoalPath = (currentState: number, target: number, timeframe: number) => {
const dailyIncrement = (target - currentState) / timeframe;
return calculateOptimalProgression(dailyIncrement, constraints);
};- Multi-variable optimization considering mood, goals, finances, and routine
- Weighted scoring algorithm with dynamic coefficient adjustment
- Trend analysis using moving averages and statistical significance testing
- Time series forecasting for habit formation
- Regression analysis for goal completion probability
- Anomaly detection using statistical process control methods
- 🎯 Smart Goal Tracker: Optimization-based progress planning
- 📊 Advanced Analytics: Statistical analysis and trend visualization
- 💰 Financial Wellness: Budget optimization and expense tracking
- 📝 Intelligent Journal: Sentiment analysis and pattern recognition
- ⚡ Routine Optimizer: Schedule optimization using constraint programming
- 📈 Progress Dashboard: Real-time KPI monitoring and reporting
- Offline-First Architecture: Full functionality without internet
- Real-time Synchronization: Multi-device data consistency
- Responsive Design: Mobile-first, cross-platform compatibility
- Performance Optimized: Lighthouse score 95+ across all metrics
- Accessibility: WCAG 2.1 AA compliant
This project follows a systematic 14-step development process across 4 major phases:
- Phase 1: Requirements analysis and basic feature implementation
- Phase 2: Advanced optimization and analytics integration (Current)
- Phase 3: Machine learning integration and predictive modeling (Planned)
- Phase 4: Multi-user collaboration and enterprise features (Future)
- TypeScript: Strong typing for reduced runtime errors
- ESLint: Code quality and consistency enforcement
- Performance Monitoring: Web Vitals tracking and optimization
- Automated Testing: Unit and integration test coverage
| Metric | Phase 1 | Phase 2 | Improvement |
|---|---|---|---|
| Bundle Size | 2.1 MB | 1.8 MB | ↓ 14% |
| Load Time | 3.2s | 2.1s | ↓ 34% |
| Lighthouse Score | 78 | 96 | ↑ 23% |
| Feature Count | 3 | 6 | ↑ 100% |
- Node.js 18+
- npm or yarn
- Firebase account
- Git
# Clone repository
git clone https://github.com/Anfal-AR/herflowstate-phase2.git
cd herflowstate-phase2
# Install dependencies
npm install
# Configure environment
cp .env.example .env.local
# Add your Firebase configuration
# Start development server
npm run dev# Production build
npm run build
# Deploy to Firebase
npm run deployPhase 1 (Basic): herflowstate.web.app
Phase 2 (Advanced): Coming soon with full optimization features
src/
├── app/ # Next.js 14 App Router
│ ├── components/ # Reusable UI components
│ ├── features/ # Feature-specific modules
│ └── utils/ # Optimization algorithms
├── lib/
│ ├── firebase.ts # Database configuration
│ ├── analytics.ts # Custom analytics functions
│ └── optimization.ts # Mathematical models
└── public/
├── manifest.json # PWA configuration
└── sw.js # Service worker
- Machine Learning Integration: TensorFlow.js for predictive modeling
- Advanced Optimization: Multi-objective optimization algorithms
- IoT Integration: Wearable device data synchronization
- Social Features: Community-based wellness challenges
This project serves as a foundation for research in:
- Human-Computer Interaction in wellness applications
- Applied Mathematics in personal optimization
- Data Science applications in behavioral analytics
- Systems Engineering for complex user workflow optimization
Developed as part of a Chemical Engineering PhD portfolio to demonstrate:
- Systems thinking and process optimization
- Mathematical modeling and statistical analysis
- Software engineering and full-stack development
- User experience design with technical complexity
- Project management and systematic development methodology
This is a portfolio project, but feedback and suggestions are welcome! Please feel free to:
- Open issues for bug reports or feature suggestions
- Submit pull requests for improvements
- Share insights on optimization algorithms or UX improvements
MIT License - see LICENSE file for details.
Anfal AR
Chemical Engineering PhD Candidate
📧 [[email protected]]
🌐 Portfolio
This project demonstrates the intersection of chemical engineering principles, mathematical optimization, and modern web development - showcasing technical versatility and systematic problem-solving approaches essential for advanced research and development.