A sophisticated cross-platform mobile application demonstrating advanced mobile development patterns, data visualization expertise, and offline-first architecture design.
Weight Wave demonstrates the ability to:
- Solve Complex UX Problems: Simplified complex health data into actionable insights while maintaining data integrity
- Engineer Integration Solutions: Successfully integrated with multiple health platforms (iOS HealthKit, Android Health Connect) using native mobile APIs
- Deliver Cross-Platform Excellence: Single development effort targeting multiple platforms with platform-specific health integrations
- Implement Data-Driven Features: Advanced analytics with automated data ingestion providing real business value
- Handle Large-Scale Data: Efficiently processes and deduplicates thousands of health records with real-time progress tracking
Weight Wave represents a comprehensive solution to the complex challenge of sustainable health tracking, built with enterprise-grade architecture and modern development practices. This project showcases:
- Advanced Data Architecture: Reactive, observable-based data layer with RxJS streams handling complex state management across multiple interconnected datasets (weight logs, macro tracking, user preferences)
- Intelligent Health Data Sync: Sophisticated integration with iOS HealthKit and Android Health Connect for automatic data ingestion with smart deduplication algorithms and batch processing
- Offline-First Design: Sophisticated local storage strategy using Ionic Storage with SQLite driver, ensuring 100% offline functionality with seamless data persistence
- Real-Time Analytics Engine: Custom-built moving average calculations with configurable time windows for trend analysis and data smoothing
- Cross-Platform Excellence: Single TypeScript codebase deploying natively to iOS, Android, and web platforms using Capacitor architecture
Traditional fitness apps oversimplify health tracking, leading to user abandonment and inaccurate insights. Weight Wave solves critical pain points:
-
Data Noise Reduction: Raw daily weight measurements are volatile and misleading. Our 7-day moving average algorithm provides meaningful trend insights while preserving individual data points.
-
Multi-Metric Integration: Combines weight tracking with body composition (muscle/fat percentages) and precision nutrition macro tracking, providing holistic health insights.
-
Offline Reliability: Health tracking requires consistent daily use. Our offline-first architecture ensures data capture even without connectivity, with robust sync capabilities.
-
Cross-Device Continuity: Users expect seamless experiences across phones, tablets, and web. Our responsive design adapts intelligently to any screen size.
┌─ Presentation Layer (Angular 15 + Ionic 6)
├─ Component Architecture (Modular, Reusable)
├─ Service Layer (RxJS Reactive Patterns)
├─ Data Layer (Observable Streams + Local Storage)
└─ Native Layer (Capacitor Plugins)
- Reactive Programming: Extensive use of RxJS operators (
combineLatest,switchMap,tap) for complex async data flows - Observable Data Streams: All app state managed through BehaviorSubjects and ReplaySubjects for consistent UI reactivity
- Modular Component Design: Lazy-loaded feature modules with shared component library
- TypeScript Excellence: Strict typing with custom interfaces and enums for type safety
- ECharts Integration: Professional-grade charting with custom themes and responsive design
- Dynamic Chart Generation: Algorithmic chart creation with adaptive scaling and intelligent axis labeling
- Multi-Dataset Correlation: Overlay charts showing relationships between weight, muscle, and fat trends
- Temporal Data Processing: Sophisticated date-based filtering and aggregation
Weight Wave implements a sophisticated health data sync system that demonstrates advanced mobile integration capabilities:
interface HealthSyncStatus {
isInProgress: boolean;
totalEntries?: number;
processedEntries?: number;
newEntries?: number;
duplicatesSkipped?: number;
lastSyncDate?: Date;
}
**Key Health Sync Features:**
- **Cross-Platform Integration**: iOS HealthKit and Android Health Connect support
- **Intelligent Deduplication**: Date + weight matching with 0.1kg tolerance for measurement variations
- **Batch Processing**: Processes 50 entries per batch to prevent UI blocking and memory issues
- **Unit Conversion**: Automatic detection and conversion between kg/lbs with precision rounding
- **Real-Time Progress**: Live sync status updates with processed/new/duplicate counts
- **Error Resilience**: Comprehensive error handling with graceful degradation
### **Core Dependencies**
```typescript
// Advanced Mobile Framework
"@angular/core": "^15.0.0"
"@ionic/angular": "^6.1.9"
"@capacitor/core": "^7.4.2"
// Data Visualization
"echarts": "^5.4.1"
"ngx-echarts": "^15.0.1"
// Local Storage Engine
"@ionic/storage-angular": "^3.0.6"
"cordova-sqlite-storage": "^6.1.0"
"localforage-cordovasqlitedriver": "^1.8.0"
// Health Platform Integration
"cordova-plugin-health": "^3.2.4"enum WeightLogStorage {
Settings = "settings",
WeightLog = "weightLog",
MacroLog = "macroLog",
}interface WeightLogId {
id: string;
weightDate: string;
weight: number;
muscleAmount?: number;
fatAmount?: number;
}
interface MacroLogId {
id: string;
logDate: string;
pnProtein: number;
pnFat: number;
pnCarbs: number;
pnVeggies: number;
}- Real-time trend visualization with ECharts
- 7-day moving average calculations
- Multi-metric correlation analysis
- Responsive chart adaptation (Month/Quarter/Year views)
- One-Click Import: Sync years of historical weight data from iOS Health or Android Health Connect
- Smart Deduplication: Advanced algorithms prevent duplicate entries while handling measurement variations
- Multi-Platform Support: Seamlessly works with Apple Health, Google Fit, Samsung Health, and other connected apps
- Body Composition Sync: Imports both weight and fat percentage data when available
- Batch Processing: Efficiently processes thousands of entries without UI blocking
- Modal-based weight logging with validation
- Body composition tracking (muscle/fat percentages)
- Unit conversion system (lbs/kg) with automatic persistence
- Bulk data import/export capabilities
- Progress tracking with visual indicators
- Goal-based milestone recognition
- Historical trend analysis
- Comprehensive user preference management
- Profile customization with image handling
- Data export functionality
- Unit preference persistence
# Install dependencies
npm install
# Development server
npm start
# Run tests
npm test
# Production build
npm run build
# Mobile deployment
npx cap sync
npx cap build android
npx cap open android- Unit tests with Jasmine/Karma
- Component testing with Angular Testing Utilities
- End-to-end validation across platforms
- ESLint code quality enforcement
- Angular CLI build optimization
- Capacitor native compilation
- Progressive Web App capabilities
- Production asset optimization
- Codebase: 40+ TypeScript components and services
- Architecture: Modular design with lazy loading
- Performance: Offline-first with instant UI responses
- Cross-Platform: iOS, Android, and web from single codebase
- Data Processing: Real-time calculations with moving averages
- Storage: SQLite-backed persistent storage with 100% offline capability
Technical Stack: Angular 15, Ionic 6, Capacitor 7, TypeScript, RxJS, ECharts, SQLite, Cordova Plugins
This project represents advanced mobile development capabilities, demonstrating expertise in cross-platform architecture, reactive programming patterns, data visualization, and offline-first application design.