ROBE - Digital Wardrobe Management System

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Overview

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.

Key Features

• 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

Tech Stack

Frontend

• Swift UI for user interface
• Composable Architecture (TCA)
  • MVVM-like structure
  • Dependency management
  • Enhanced testing capabilities

Backend

• Firebase for data storage and authentication
• Google Cloud for AI clothing classification
• Apple Sign In for authorization

Technical Highlights

Interactive Canvas

• Drag-and-drop system for clothing placement
• Normalized coordinates for multi-screen support
• Optimized performance for smooth operation

Data Storage

• NoSQL structure in Firebase
• Optimized storage schema for fast screen loading
• Screen-specific data isolation

AI Classification

• LLM integration for garment parameter detection
• Optimized image processing pipeline
• Cost-effective AI model utilization

Challenges Overcome

1. Interactive Canvas Development

   • Item positioning data storage system
   • Drag-and-drop performance optimization
   • Backend synchronization

2. NoSQL Implementation

   • Transition from relational to non-relational data model
   • Structure optimization for quick loading

3. Authorization Systems Integration

   • Apple Sign In setup
   • Firebase Authentication integration

4. AI Clothing Classification

   • Optimal model research and selection
   • Cost and performance optimization
   • LLM integration for improved classification accuracy