Outfit AI – AI Outfit Planner

OutFit AI - iOS Fashion Assistant App

OVERVIEW
OutFit AI is a comprehensive iOS application built with SwiftUI that leverages artificial intelligence to help users with fashion and outfit planning. The app uses computer vision and AI to analyze clothing items and provide intelligent suggestions for outfit combinations and shopping recommendations.

CORE FEATURES

1. Clothes to Outfit Analysis
- Users can upload photos of their clothing items
- AI analyzes the clothing and detects specific items (tops, bottoms, shoes, accessories, etc.)
- Provides personalized outfit suggestions based on detected items
- Includes confidence scores and style recommendations
- Users can save favorite outfit suggestions for future reference

2. Picture to Shopping
- Upload any fashion photo to get shopping suggestions
- AI identifies clothing items in the image
- Provides direct links to purchase similar items from various retailers
- Includes pricing information and store details
- Users can save items to their personal shopping list

3. Person to Shopping Analysis
- Analyze complete outfits worn by people in photos
- Detects individual clothing items with confidence scores
- Extracts color palettes from the outfit
- Determines overall style and occasion appropriateness
- Provides comprehensive shopping suggestions for recreating the look

4. Favorites Management
- Save and organize favorite outfit suggestions
- Persistent storage using UserDefaults
- Easy access to previously saved recommendations
- Ability to remove saved outfits

5. Shopping List Management
- Save shopping suggestions from any analysis
- Track purchased items with checkboxes
- Organize items by clothing categories
- Direct links to purchase items online
- Persistent storage across app sessions

TECHNICAL IMPLEMENTATION

Architecture:
- Built using SwiftUI for modern iOS development
- MVVM (Model-View-ViewModel) architecture pattern
- Async/await for network operations
- ObservableObject for reactive UI updates

AI Integration:
- Clarifai API integration for computer vision
- Custom clothing detection models
- Image analysis and item recognition
- Confidence scoring for detected items

Data Models:
- Comprehensive clothing category system (top, bottom, dress, outerwear, shoes, accessories, bag)
- Structured outfit suggestions with style and occasion tags
- Shopping suggestions with pricing and retailer information
- Persistent data storage for user preferences

User Interface:
- Tab-based navigation with five main sections
- Modern, clean design with custom color schemes
- Card-based layout for suggestions and items
- Interactive elements for saving and managing content
- Responsive design optimized for iOS devices

Key Components:
- ImagePicker for photo selection from device library
- Custom UI components for displaying suggestions
- Tag system for categorizing styles and occasions
- Color-coded category indicators
- Progress indicators for AI analysis

DATA PERSISTENCE
- UserDefaults for storing saved outfits and shopping items
- JSON encoding/decoding for complex data structures
- Automatic loading of saved data on app launch
- Real-time updates when items are added or removed

TARGET USERS
- Fashion enthusiasts looking for outfit inspiration
- Users seeking help with wardrobe coordination
- Shoppers wanting to find similar items online
- People interested in AI-powered fashion assistance

BENEFITS
- Saves time in outfit planning and shopping
- Provides objective fashion advice through AI analysis
- Helps users discover new styles and combinations
- Streamlines the shopping process with direct purchase links
- Creates a personalized fashion assistant experience

The app combines the power of artificial intelligence with practical fashion needs, making it easier for users to make informed decisions about their clothing choices and shopping habits.