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ROBE is an iOS application for digital wardrobe management. The app enables users to create a digital version of their wardrobe, organize clothes, and create outfits.
- Automatic clothing classification using AI
- Background removal from clothing photos
- Color detection for garments
- Tagging system for wardrobe organization
- Interactive canvas for creating and managing outfits
- Filtering and searching clothing items
- Creation of outfit collections
- Swift UI for user interface
- Composable Architecture (TCA)
- MVVM-like structure
- Dependency management
- Enhanced testing capabilities
- Firebase for data storage and authentication
- Google Cloud for AI clothing classification
- Apple Sign In for authorization
- Drag-and-drop system for clothing placement
- Normalized coordinates for multi-screen support
- Optimized performance for smooth operation
- NoSQL structure in Firebase
- Optimized storage schema for fast screen loading
- Screen-specific data isolation
- LLM integration for garment parameter detection
- Optimized image processing pipeline
- Cost-effective AI model utilization
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Interactive Canvas Development
- Item positioning data storage system
- Drag-and-drop performance optimization
- Backend synchronization
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NoSQL Implementation
- Transition from relational to non-relational data model
- Structure optimization for quick loading
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Authorization Systems Integration
- Apple Sign In setup
- Firebase Authentication integration
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AI Clothing Classification
- Optimal model research and selection
- Cost and performance optimization
- LLM integration for improved classification accuracy