ObjectDetect

ObjectDetect is a modern Android app that lets users select an image from their gallery and perform cloud-based object detection using a Roboflow workflow. The app displays both the original and processed images (with bounding boxes), supports full-screen viewing with zoom and pan, and is built with Jetpack Compose, Ktor, and Koin, utilizing Clean Architecture with MVVM.

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✨ Features

• Select a photo from the gallery.
• Cloud object detection via Roboflow workflow API.
• View both original and detected images side by side.
• Full-screen image viewing with pinch-to-zoom and pan support.
• Modern Material3 UI with gradients and cards.
• Clean, testable architecture with Koin DI and Ktor networking.

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📹 Demo

demo.mp4

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🏗️ Architecture

• Jetpack Compose for UI
• Koin for Dependency Injection
• Ktor for Networking
• MVVM + Clean Architecture: Domain/usecase, repository, remote/data, and UI layers

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🗂️ Project Structure

app/
  core/model/           # Data models (request/response)
  data/remote/          # API interfaces and implementations
  data/repository/      # Repository interfaces and implementations
  di/                   # Dependency injection modules
  domain/usecase/       # Use case interfaces and implementations
  presentation/         # ViewModels and Compose screens
  util/                 # Utility functions and constants

🚀 Getting Started

1. Clone the repo:

   git clone https://github.com/yourusername/ObjectDetect.git
   cd ObjectDetect

2. Open in Android Studio (Giraffe or newer recommended).

3. Set up your Roboflow API key and workflow endpoint:

   • Edit KtorObjectDetectionApi.kt and replace the API key and endpoint with your own from Roboflow.

4. Build and run on your device or emulator.

🛠️ Configuration

• API Key:
  Set your Roboflow API key in KtorObjectDetectionApi.
• Image Size Limit:
  Images are resized to a max of 2048x2048 before upload.

🧩 Dependencies

• Jetpack Compose
• Koin
• Ktor
• Kotlinx Serialization
• Timber for logging