Umar S

Mobile Developer - ChopChop (Restaurant Ordering Platform)

personal project • Lavoratore autonomo

May 2025 - Jul 2025 • 2 mos

Designed and developed a comprehensive food delivery application connecting restaurants, customers, and delivery personnel. Showcases expertise in e-commerce functionality, real-time order management, and multi-user platform architecture. Key Features: Dynamic restaurant listing with categories, ratings, cuisine types, and comprehensive menu system Intuitive shopping cart with cart persistence across app sessions Real-time order tracking with live status updates (received, preparing, out for delivery, completed) Integrated secure payment processing with multiple payment methods Push notification system for order status changes and delivery updates Order history with detailed receipts and easy reorder functionality Restaurant search and filter (cuisine, price range, ratings, delivery time) User authentication with profile management and saved addresses Rating and review system for restaurants and delivery experience Restaurant dashboard for order management and menu updates Technical Implementation: Built with React Native (Expo), Firebase (Firestore for real-time database, Cloud Functions for backend logic, Authentication for user management), Redux for complex state management, React Navigation with nested navigators, Expo Notifications API for push notifications. Implemented delivery fee calculation based on distance, minimum order enforcement, and restaurant availability scheduling. Challenges Addressed: Managed complex state across multiple user types, implemented real-time synchronization across devices, built scalable database structure, optimized performance with lazy loading, handled offline scenarios with appropriate fallbacks. → View source code and documentation on GitHub (see link below)

Mobile Developer - ScanView (Document Scanner)

Personal Projects • Lavoratore autonomo

Jan 2025 - May 2025 • 4 mos

Built a professional-grade document scanning application with advanced image processing and OCR capabilities, demonstrating expertise in mobile camera integration, computer vision, and document management. Core Features: Intelligent edge detection for automatic document boundary recognition Perspective correction algorithms to flatten skewed or angled documents Multi-page scanning with seamless transitions Image enhancement filters (brightness, contrast, sharpness) for optimal scan quality OCR text extraction using Vision API with high accuracy Searchable document feature enabling text search within scans Automated PDF creation from single or multiple scanned pages Document library with folder organization, tagging, and search functionality Export options including email, cloud storage, and app sharing Custom camera interface with manual and automatic capture modes Technical Implementation: React Native with Expo Camera API and custom camera controls, Expo Image Picker for importing existing images, Vision API integration for OCR processing, custom image processing algorithms for edge detection and perspective transformation, PDF generation libraries with custom formatting, AsyncStorage for settings and preferences. Challenges Solved: Optimized image processing maintaining quality while reducing file sizes, implemented efficient batch processing without blocking UI, handled various document types and lighting conditions, built reliable edge detection across different backgrounds. → View source code and documentation on GitHub (see link below)