This is a Flutter Application that uses Tensorflow lite to classify the uploaded asset as cat or dog, i.e. from Device Camera or Gallery

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

What things you need to install the software and how to install them

Download Flutter sdk from flutter.dev. Copy the sdk to C:\src\flutter Launch flutter_console

flutter doctor

This command would give you a clear interpretation of remaining tasks to be completed for flutter to operate successfully.

If you are new to app dev, use Android Studio to install Android SDK effortlessly by installing it.

Now, Download VS Code and install it. (You can also use Android Studio if you prefer that)

After installing, install Dart and Flutter extensions from extension store.

Now, Connect the respective device to your laptop i.e.

• iOS Device for Mac
• Android Device for Windows

Now, We can Start a project by simple Command

Ctrl+Shift+P

And to run this Flutter Project smoothly. Go to Terminal Console

flutter run --no-sound-null-safety

Download some cat & dogs photos in your gallery prior.

• Flutter - The Cross Platform framework used for App & Web Development
• Tensorflow lite - TensorFlow Lite is an open source deep learning framework for on-device inference.
• SplashScreen - It is a Flutter package that effortlessly create splashcreen to make application intuitive.

• Arpit Shrotriya - Initial work - Cyclostone

• Hat tip to anyone whose code was used
• Integrating Tensorflow and Flutter
• Inspiration