AircraftIdentifier

An iOS application for identifying aircraft from photos using AI-powered image analysis.

Key Features

• Aircraft Identification: AI-powered image analysis
• Camera Integration: Photo capture and processing
• Photo Library: Access to existing photos
• App Intents: Siri Shortcuts integration
• Settings: User preferences and permissions

Dependencies

• SwiftUI: Modern declarative UI framework
• Firebase AI: AI-powered image analysis
• PhotosUI: Photo library integration
• App Intents: Siri Shortcuts support

🖼️ Showcase

🎥 Demo

🧩 Shortcuts

🗣 Siri

Architecture

This project follows the MVVM (Model-View-ViewModel) architecture pattern with the following principles:

Core Principles

• Separation of Concerns: Each layer has a specific responsibility
• Dependency Injection: Services are injected where needed
• Protocol-Oriented Programming: Using protocols for flexibility
• Value Types: Preferring structs over classes for data models

Layers

1. Model Layer (Core/Model/)

   • Data structures and business entities
   • Pure Swift structs with Codable conformance

2. Service Layer (Core/Service/)

   • Business logic and external API interactions
   • Singleton pattern for shared services
   • Async/await for asynchronous operations

3. ViewModel Layer (Features/*/ViewModel/)

   • State management and business logic
   • ObservableObject for SwiftUI integration
   • Published properties for reactive updates

4. View Layer (Features/*/View/)

   • SwiftUI views for user interface
   • Declarative UI with accessibility support
   • Modular and reusable components

Getting Started

1. Clone the repository
2. Open AircraftIdentifier.xcodeproj in Xcode
3. Configure Firebase (add your GoogleService-Info.plist)
4. Build and run the project

Requirements

• iOS 17.0+
• Xcode 15.0+