A flutter project to implement the following, Random image by breed, Images list by breed, Random image by breed and sub breed, Images list by breed and sub breed
Testing this Flutter App on iOS and Android: This guide will walk you through the process of testing this Flutter app on both iOS and Android platforms. You can use popular IDEs like Visual Studio Code, Android Studio, or Xcode for this purpose. Additionally, I'll cover testing on both emulators and physical devices.
Prerequisites: Flutter and Dart should be installed on your system. You've set up your development environment for iOS and Android. You've cloned the Flutter project from GitHub: https://github.com/flutter/flutter
Or install Flutter into your machine through: https://docs.flutter.dev/get-started/install -
If you haven't already, clone Dog Finder GitHub repository to your local machine:
git clone https://github.com/Atuoha/dog_finder cd dog_finder (if that's the name of the folder)
Setting Up Your Project: Open Your Project: Launch Visual Studio Code or Android Studio and open your Flutter project.
Running pub get: Before testing, make sure to run pub get to fetch the project dependencies. You can do this by opening the terminal inside your project directory and running:
flutter pub get
Select Your Target Device: At the bottom right corner of VSCode or in Android Studio, click on "No Devices" and select either an emulator or a physical device.
Run Your App: Click the "Run" button (or press F5 in VSCode or Shift + F10 in Android Studio) to launch your app on the selected device.
Using Xcode (for iOS): Open Your Project: Open your Flutter project in Xcode by navigating to ios/Runner.xcworkspace.
Select Your Target Device: In the Xcode project, choose a connected iOS device or a simulator.
Run Your App: Click the "Play" button (or press Cmd + R) to launch your app on the selected iOS device or simulator.
Android APK Download Link https://atuoha.github.io/project-assets.github.io/
Images
Screenshots https://github.com/Atuoha/dog_finder/screenshots
Video Clip https://clipchamp.com/watch/GvA2HteZrHB