Wardrova: AI Fashion Stylist App

I developed a comprehensive iOS application leveraging Apple's native frameworks and AI APIs: **Native iOS Development with Swift & SwiftUI** Built the entire application using Swift 5.9 and SwiftUI for a modern, declarative UI. Utilized Combine framework for reactive programming and state management. Implemented custom transitions and animations for a polished, premium feel. **FAL AI Integration for Fashion Recognition** Integrated FAL AI's advanced computer vision models for clothing recognition and classification. The system classifies clothing items into 25 categories, identifies colors with 92% accuracy, and detects patterns (stripes, floral, solid, etc.) through API calls. **Vision Framework Integration** Leveraged Apple's Vision framework for image preprocessing, background removal, and item detection. Implemented automatic cropping to focus on clothing items and remove unnecessary background elements before sending to FAL AI. **Smart Recommendation Engine** Built a rules-based recommendation system combined with collaborative filtering. The engine considers color harmony (complementary, analogous, triadic), style matching (casual, formal, sporty), weather appropriateness, and user preferences learned from outfit history. **CloudKit Integration** Used CloudKit for seamless data synchronization across user devices while maintaining privacy. Implemented iCloud photo storage for wardrobe images with automatic compression and thumbnail generation. **Weather API Integration** Integrated OpenWeatherMap API for location-based weather forecasts. The app suggests outfits based on temperature ranges, precipitation probability, and UV index. **Wardrobe Management System** Designed an intuitive tagging and categorization system with smart search. Users can filter by category, color, season, occasion, and custom tags. Implemented a visual grid view with quick actions for editing and outfit creation. **Daily Outfit Feature** Created a daily outfit recommendation feature that learns from user feedback (likes/dislikes) to improve suggestions over time using reinforcement learning principles. **Gamification Elements** Added achievement badges for outfit diversity, sustainable fashion choices (rewearing items), and wardrobe organization. Implemented outfit sharing to social media with branded watermarks.