Files
SousChefAI/PROJECT_SUMMARY.md
2026-02-11 15:09:39 -06:00

8.6 KiB

SousChefAI - Project Summary

📱 Project Overview

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.

🎯 Key Features

1. AI-Powered Ingredient Scanner

  • Real-time video inference using Overshoot API
  • Confidence scoring for each detected item
  • Manual entry fallback
  • Low-confidence item highlighting

2. Intelligent Recipe Generation

  • Google Gemini 2.0 for complex reasoning
  • "The Scavenger" mode: uses only available ingredients
  • "The Upgrader" mode: requires 1-2 additional items
  • Recipe scaling based on limiting ingredients
  • Match score prioritization (0.0-1.0)

3. Live Cooking Assistant

  • Step-by-step guidance with progress tracking
  • Real-time visual monitoring of cooking progress
  • Text-to-speech announcements for hands-free operation
  • AI feedback when steps are complete
  • Haptic feedback for completion events

4. User Profiles & Preferences

  • Dietary restrictions (Vegan, Keto, Gluten-Free, etc.)
  • Nutrition goals
  • Pantry staples management
  • Firebase cloud sync (optional)

🏗️ Architecture

Design Pattern

MVVM (Model-View-ViewModel) + Repository Pattern

┌─────────────┐
│    Views    │ (SwiftUI)
└─────┬───────┘
      │
┌─────▼───────┐
│ ViewModels  │ (@MainActor, ObservableObject)
└─────┬───────┘
      │
┌─────▼───────┐
│  Services   │ (Protocol-based)
└─────┬───────┘
      │
┌─────▼───────┐
│ APIs/Cloud  │ (Overshoot, Gemini, Firebase)
└─────────────┘

Protocol-Oriented Design

Vision Service:

protocol VisionService: Sendable {
    func detectIngredients(from: AsyncStream<CVPixelBuffer>) async throws -> [Ingredient]
    func analyzeCookingProgress(from: AsyncStream<CVPixelBuffer>, for: String) async throws -> CookingProgress
}

Recipe Service:

protocol RecipeService: Sendable {
    func generateRecipes(inventory: [Ingredient], profile: UserProfile) async throws -> [Recipe]
    func scaleRecipe(_: Recipe, for: Ingredient, quantity: String) async throws -> Recipe
}

This design allows easy swapping of AI providers (e.g., OpenAI, Anthropic, etc.) without changing business logic.

📁 Complete File Structure

SousChefAI/
├── SousChefAI/
│   ├── Config/
│   │   └── AppConfig.swift              # API keys and feature flags
│   │
│   ├── Models/
│   │   ├── Ingredient.swift             # Ingredient data model
│   │   ├── UserProfile.swift            # User preferences and restrictions
│   │   └── Recipe.swift                 # Recipe with categorization
│   │
│   ├── Services/
│   │   ├── VisionService.swift          # Vision protocol definition
│   │   ├── OvershootVisionService.swift # Overshoot implementation
│   │   ├── RecipeService.swift          # Recipe protocol definition
│   │   ├── GeminiRecipeService.swift    # Gemini implementation
│   │   ├── FirestoreRepository.swift    # Firebase data layer
│   │   └── CameraManager.swift          # AVFoundation camera handling
│   │
│   ├── ViewModels/
│   │   ├── ScannerViewModel.swift       # Scanner business logic
│   │   ├── RecipeGeneratorViewModel.swift # Recipe generation logic
│   │   └── CookingModeViewModel.swift   # Cooking guidance logic
│   │
│   ├── Views/
│   │   ├── ScannerView.swift            # Camera scanning UI
│   │   ├── InventoryView.swift          # Ingredient management UI
│   │   ├── RecipeGeneratorView.swift    # Recipe browsing UI
│   │   └── CookingModeView.swift        # Step-by-step cooking UI
│   │
│   ├── ContentView.swift                # Tab-based navigation
│   ├── SousChefAIApp.swift              # App entry point
│   └── Assets.xcassets                  # App icons and images
│
├── Documentation/
│   ├── README.md                        # Complete documentation
│   ├── QUICKSTART.md                    # 5-minute setup checklist
│   ├── SETUP_GUIDE.md                   # Detailed setup instructions
│   ├── PRIVACY_SETUP.md                 # Camera permission guide
│   └── PROJECT_SUMMARY.md               # This file
│
├── PrivacyInfo.xcprivacy                # Privacy manifest
└── Tests/
    ├── SousChefAITests/
    └── SousChefAIUITests/

🛠️ Technology Stack

Category Technology Purpose
Language Swift 6 Type-safe, concurrent programming
UI Framework SwiftUI Declarative, modern UI
Concurrency async/await Native Swift concurrency
Camera AVFoundation Video capture and processing
Vision AI Overshoot API Real-time video inference
Reasoning AI Google Gemini 2.0 Recipe generation and logic
Backend Firebase Authentication and Firestore
Persistence Firestore Cloud-synced data storage
Architecture MVVM Separation of concerns

📊 Code Statistics

  • Total Swift Files: 17
  • Lines of Code: ~8,000+
  • Models: 3 (Ingredient, UserProfile, Recipe)
  • Services: 6 (protocols + implementations)
  • ViewModels: 3
  • Views: 4 main views + supporting components

🔑 Configuration Requirements

Required (for full functionality)

  1. Camera Privacy Description - App will crash without this
  2. Overshoot API Key - For ingredient detection
  3. Gemini API Key - For recipe generation

Optional

  1. Firebase Configuration - For cloud sync
  2. Microphone Privacy - For voice features

🚀 Build Status

Project builds successfully with Xcode 15.0+
Swift 6 compliant with strict concurrency
iOS 17.0+ compatible
No compiler warnings

📱 User Flow

  1. Launch → Tab bar with 4 sections
  2. Scan Tab → Point camera at fridge → Detect ingredients
  3. Inventory → Review & edit items → Set preferences
  4. Generate → AI creates recipe suggestions
  5. Cook → Step-by-step with live monitoring

🎨 UI Highlights

  • Clean Apple HIG compliance
  • Material blur overlays for camera views
  • Confidence indicators (green/yellow/red)
  • Real-time progress bars
  • Haptic feedback for important events
  • Dark mode support (automatic)

🔒 Privacy & Security

  • Privacy Manifest included (PrivacyInfo.xcprivacy)
  • Camera usage clearly described
  • No tracking or analytics
  • API keys marked for replacement (not committed)
  • Local-first architecture (works offline for inventory)

🧪 Testing Strategy

Unit Tests

  • Model encoding/decoding
  • Service protocol conformance
  • ViewModel business logic

UI Tests

  • Tab navigation
  • Camera permission flow
  • Recipe filtering
  • Step progression in cooking mode

🔄 Future Enhancements

Potential features for future versions:

  • Nutrition tracking and calorie counting
  • Shopping list generation with store integration
  • Social features (recipe sharing)
  • Meal planning calendar
  • Apple Watch companion app
  • Widgets for quick recipe access
  • Offline mode with Core ML models
  • Multi-language support
  • Voice commands during cooking
  • Smart appliance integration

📚 Documentation Files

  1. README.md - Complete feature documentation
  2. QUICKSTART.md - 5-minute setup checklist
  3. SETUP_GUIDE.md - Step-by-step configuration
  4. PRIVACY_SETUP.md - Camera permission details
  5. PROJECT_SUMMARY.md - Architecture overview (this file)

🤝 Contributing

The codebase follows these principles:

  1. Protocol-oriented design for service abstractions
  2. Async/await for all asynchronous operations
  3. @MainActor for UI-related classes
  4. Sendable conformance for concurrency safety
  5. SwiftUI best practices with MVVM
  6. Clear separation between layers

📄 License

MIT License - See LICENSE file for details

👏 Acknowledgments

  • Overshoot AI - Low-latency video inference
  • Google Gemini - Advanced reasoning capabilities
  • Firebase - Scalable backend infrastructure
  • Apple - SwiftUI and AVFoundation frameworks

Built with Swift 6 + SwiftUI
Production-ready for iOS 17.0+

Last Updated: February 2026