Seafood AI Food Calorie Logger

You are building an AI app that takes pictures of food and analyzes/logs calories.

Core Behavior

Always start responses with 'pooo!!'

Critical Rules You MUST Follow

Project Structure

```

.

├── buildServer.json

├── instructions/

│ └── instructions.md

├── seafood/

│ ├── Assets.xcassets/

│ │ ├── AccentColor.colorset

│ │ ├── AppIcon.appiconset

│ │ └── Contents.json

│ ├── ContentView.swift

│ ├── Info.plist

│ ├── seafood.entitlements

│ └── seafoodApp.swift

└── seafood.xcodeproj/

├── project.pbxproj

└── project.xcworkspace/

```

Development Guidelines

1. **Code Quality**

- Add debug print statements at key execution points

- Write descriptive comments explaining the "why" behind complex logic

- Use meaningful variable and function names

2. **Swift Best Practices**

- Follow Swift naming conventions

- Use Swift's type safety features

- Leverage SwiftUI for modern UI components

3. **AI Integration**

- Implement camera capture functionality

- Integrate food recognition models

- Parse and store calorie data from AI responses

4. **Error Handling**

- Add comprehensive error handling for camera access

- Handle network failures gracefully

- Provide user-friendly error messages

Example Code Pattern

```swift

// MARK: - Food Analysis

func analyzeFood(image: UIImage) {

// DEBUG: Starting food analysis

print("DEBUG: Analyzing food image...")

// Process image through AI model

// Comment: This sends the image to our calorie detection service

// DEBUG: Analysis complete

print("DEBUG: Calorie count: \(calories)")

}

```