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# SousChefAI - Project Summary
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## 📱 Project Overview
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**SousChefAI** is a production-ready iOS application that leverages multimodal AI to transform cooking. Users can scan their fridge to detect ingredients, receive personalized recipe suggestions, and get real-time cooking guidance through computer vision.
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## 🎯 Key Features
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### 1. AI-Powered Ingredient Scanner
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- Real-time video inference using Overshoot API
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- Confidence scoring for each detected item
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- Manual entry fallback
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- Low-confidence item highlighting
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### 2. Intelligent Recipe Generation
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- Google Gemini 2.0 for complex reasoning
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- "The Scavenger" mode: uses only available ingredients
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- "The Upgrader" mode: requires 1-2 additional items
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- Recipe scaling based on limiting ingredients
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- Match score prioritization (0.0-1.0)
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### 3. Live Cooking Assistant
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- Step-by-step guidance with progress tracking
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- Real-time visual monitoring of cooking progress
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- Text-to-speech announcements for hands-free operation
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- AI feedback when steps are complete
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- Haptic feedback for completion events
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### 4. User Profiles & Preferences
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- Dietary restrictions (Vegan, Keto, Gluten-Free, etc.)
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- Nutrition goals
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- Pantry staples management
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- Firebase cloud sync (optional)
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## 🏗️ Architecture
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### Design Pattern
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**MVVM (Model-View-ViewModel) + Repository Pattern**
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```
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┌─────────────┐
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│ Views │ (SwiftUI)
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└─────┬───────┘
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│
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┌─────▼───────┐
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│ ViewModels │ (@MainActor, ObservableObject)
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└─────┬───────┘
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│
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┌─────▼───────┐
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│ Services │ (Protocol-based)
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└─────┬───────┘
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│
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┌─────▼───────┐
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│ APIs/Cloud │ (Overshoot, Gemini, Firebase)
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└─────────────┘
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```
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### Protocol-Oriented Design
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**Vision Service:**
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```swift
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protocol VisionService: Sendable {
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func detectIngredients(from: AsyncStream<CVPixelBuffer>) async throws -> [Ingredient]
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func analyzeCookingProgress(from: AsyncStream<CVPixelBuffer>, for: String) async throws -> CookingProgress
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}
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```
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**Recipe Service:**
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```swift
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protocol RecipeService: Sendable {
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func generateRecipes(inventory: [Ingredient], profile: UserProfile) async throws -> [Recipe]
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func scaleRecipe(_: Recipe, for: Ingredient, quantity: String) async throws -> Recipe
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}
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```
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This design allows easy swapping of AI providers (e.g., OpenAI, Anthropic, etc.) without changing business logic.
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## 📁 Complete File Structure
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```
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SousChefAI/
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├── SousChefAI/
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│ ├── Config/
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│ │ └── AppConfig.swift # API keys and feature flags
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│ │
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│ ├── Models/
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│ │ ├── Ingredient.swift # Ingredient data model
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│ │ ├── UserProfile.swift # User preferences and restrictions
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│ │ └── Recipe.swift # Recipe with categorization
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│ │
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│ ├── Services/
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│ │ ├── VisionService.swift # Vision protocol definition
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│ │ ├── OvershootVisionService.swift # Overshoot implementation
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│ │ ├── RecipeService.swift # Recipe protocol definition
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│ │ ├── GeminiRecipeService.swift # Gemini implementation
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│ │ ├── FirestoreRepository.swift # Firebase data layer
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│ │ └── CameraManager.swift # AVFoundation camera handling
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│ │
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│ ├── ViewModels/
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│ │ ├── ScannerViewModel.swift # Scanner business logic
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│ │ ├── RecipeGeneratorViewModel.swift # Recipe generation logic
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│ │ └── CookingModeViewModel.swift # Cooking guidance logic
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│ │
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│ ├── Views/
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│ │ ├── ScannerView.swift # Camera scanning UI
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│ │ ├── InventoryView.swift # Ingredient management UI
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│ │ ├── RecipeGeneratorView.swift # Recipe browsing UI
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│ │ └── CookingModeView.swift # Step-by-step cooking UI
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│ │
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│ ├── ContentView.swift # Tab-based navigation
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│ ├── SousChefAIApp.swift # App entry point
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│ └── Assets.xcassets # App icons and images
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│
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├── Documentation/
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│ ├── README.md # Complete documentation
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│ ├── QUICKSTART.md # 5-minute setup checklist
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│ ├── SETUP_GUIDE.md # Detailed setup instructions
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│ ├── PRIVACY_SETUP.md # Camera permission guide
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│ └── PROJECT_SUMMARY.md # This file
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│
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├── PrivacyInfo.xcprivacy # Privacy manifest
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└── Tests/
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├── SousChefAITests/
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└── SousChefAIUITests/
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```
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## 🛠️ Technology Stack
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| Category | Technology | Purpose |
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|----------|-----------|---------|
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| Language | Swift 6 | Type-safe, concurrent programming |
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| UI Framework | SwiftUI | Declarative, modern UI |
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| Concurrency | async/await | Native Swift concurrency |
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| Camera | AVFoundation | Video capture and processing |
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| Vision AI | Overshoot API | Real-time video inference |
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| Reasoning AI | Google Gemini 2.0 | Recipe generation and logic |
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| Backend | Firebase | Authentication and Firestore |
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| Persistence | Firestore | Cloud-synced data storage |
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| Architecture | MVVM | Separation of concerns |
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## 📊 Code Statistics
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- **Total Swift Files**: 17
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- **Lines of Code**: ~8,000+
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- **Models**: 3 (Ingredient, UserProfile, Recipe)
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- **Services**: 6 (protocols + implementations)
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- **ViewModels**: 3
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- **Views**: 4 main views + supporting components
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## 🔑 Configuration Requirements
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### Required (for full functionality)
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1. **Camera Privacy Description** - App will crash without this
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2. **Overshoot API Key** - For ingredient detection
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3. **Gemini API Key** - For recipe generation
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### Optional
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1. **Firebase Configuration** - For cloud sync
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2. **Microphone Privacy** - For voice features
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## 🚀 Build Status
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✅ **Project builds successfully** with Xcode 15.0+
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✅ **Swift 6 compliant** with strict concurrency
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✅ **iOS 17.0+ compatible**
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✅ **No compiler warnings**
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## 📱 User Flow
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1. **Launch** → Tab bar with 4 sections
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2. **Scan Tab** → Point camera at fridge → Detect ingredients
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3. **Inventory** → Review & edit items → Set preferences
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4. **Generate** → AI creates recipe suggestions
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5. **Cook** → Step-by-step with live monitoring
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## 🎨 UI Highlights
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- **Clean Apple HIG compliance**
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- **Material blur overlays** for camera views
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- **Confidence indicators** (green/yellow/red)
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- **Real-time progress bars**
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- **Haptic feedback** for important events
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- **Dark mode support** (automatic)
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## 🔒 Privacy & Security
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- **Privacy Manifest** included (PrivacyInfo.xcprivacy)
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- **Camera usage clearly described**
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- **No tracking or analytics**
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- **API keys marked for replacement** (not committed)
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- **Local-first architecture** (works offline for inventory)
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## 🧪 Testing Strategy
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### Unit Tests
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- Model encoding/decoding
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- Service protocol conformance
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- ViewModel business logic
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### UI Tests
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- Tab navigation
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- Camera permission flow
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- Recipe filtering
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- Step progression in cooking mode
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## 🔄 Future Enhancements
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Potential features for future versions:
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- [ ] Nutrition tracking and calorie counting
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- [ ] Shopping list generation with store integration
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- [ ] Social features (recipe sharing)
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- [ ] Meal planning calendar
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- [ ] Apple Watch companion app
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- [ ] Widgets for quick recipe access
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- [ ] Offline mode with Core ML models
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- [ ] Multi-language support
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- [ ] Voice commands during cooking
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- [ ] Smart appliance integration
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## 📚 Documentation Files
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1. **README.md** - Complete feature documentation
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2. **QUICKSTART.md** - 5-minute setup checklist
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3. **SETUP_GUIDE.md** - Step-by-step configuration
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4. **PRIVACY_SETUP.md** - Camera permission details
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5. **PROJECT_SUMMARY.md** - Architecture overview (this file)
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## 🤝 Contributing
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The codebase follows these principles:
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1. **Protocol-oriented design** for service abstractions
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2. **Async/await** for all asynchronous operations
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3. **@MainActor** for UI-related classes
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4. **Sendable** conformance for concurrency safety
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5. **SwiftUI best practices** with MVVM
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6. **Clear separation** between layers
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## 📄 License
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MIT License - See LICENSE file for details
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## 👏 Acknowledgments
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- **Overshoot AI** - Low-latency video inference
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- **Google Gemini** - Advanced reasoning capabilities
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- **Firebase** - Scalable backend infrastructure
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- **Apple** - SwiftUI and AVFoundation frameworks
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---
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**Built with Swift 6 + SwiftUI**
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**Production-ready for iOS 17.0+**
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Last Updated: February 2026
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