As an iOS Developer, I built the app from the ground-up using Swift, SwiftUI, AWS cloud services, REST APIs, and MVVM app architecture practices. The app includes interactive study tools, cloud integration, document processing, and more.
https://www.lumenoai.com/
Core Features
📚 Smart Study Tools
Adaptive Flashcard System - Custom spaced repetition algorithm with progress tracking, star ratings, and performance analytics
Interactive Document Viewer - PDF annotation with highlighting, note-taking, and searchable bookmarks
Practice Quiz Engine - Dynamic multiple-choice system with instant feedback and detailed performance metrics
Digital Canvas - PencilKit integration for freeform drawing, visual note-taking, and diagram creation
AI Study Assistant - Context-aware chatbot for document Q&A and concept explanations
📊 Course Management
Multi-course dashboard with color-coded organization and real-time progress visualization
Hierarchical content structure (Courses → Modules → Resources)
Technical Implementation
Architecture & Design Patterns
MVVM Architecture with SwiftUI and Combine for reactive, unidirectional data flow
Custom Navigation Coordinator - Type-safe navigation system using enums and generics, optimized for iPad split-view
Dependency Injection - Protocol-oriented design enabling modular, testable ViewModels
Repository Pattern - Abstraction layer separating business logic from data sources
Backend Integration
Architected service-oriented networking layer supporting 9+ different backend services
Implemented generic type-safe API requests using protocols and associated types for compile-time safety
Built automatic token refresh system with intelligent retry logic and 401 error handling
Created centralized configuration management with environment-specific endpoints and authentication requirements
iOS Development Practices
Responsive Design - Universal interface adapting seamlessly between iPhone and iPad with native split-view
Concurrency Management - Leveraged Swift's modern concurrency (async/await, Actor isolation, @MainActor)
Performance Optimization - Sub-second launch times through lazy loading and strategic caching
Technical Stack
Frontend: SwiftUI, PencilKit, PDFKit
Backend: AWS Amplify, Cognito, S3, API Gateway, Lambda
Architecture: MVVM
Concurrency: Async/Await, Actors, Structured Concurrency
Tools: Xcode, Git, Postman, AWS Console
