Flutter/Tensorflow: Android Plushie / Not Android Plushie - Part 2: Incorporate the Tensorflow model you got from part 1 into a Flutter app!
Introduction
Flutter is Google's new platform for multi platform development. Multi platform means that what you write on Flutter runs on Android, iOS (for iPhones) and Web.
Tensorflow is a Machine Learning framework released by Google that you can build ML models to run anywhere. On Phones, Servers even on an Arduino! Impressive right!
We will use the tensorflow model from Part 1 to integrate it with our App and get started with detecting objects!
Task
The app will consist of only one part in the moment but you are free to think of what you can do in the future or improve it
Your task is to build a real time detection camera view into the app with the tflite model you have. Once you merge those 2 Parts and the Application works you can submit the app for review!
Requirements
Submit a link that uses a Git Repository with all the flutter files you have including the tflite model. You can also explain how your app works and what's the main logic behind it :)
Links that can help you:
https://www.tensorflow.org/lite/guide/get_started https://flutter.dev https://pub.dev/packages/tflite#Real-time-Detection
Task tags
Students who completed this task
Task type
- code Code
- done_all Quality Assurance