It uses on-device machine learning, which helps with fast and real-time processing. Also, it works totally offline, so you don’t have to worry about any privacy violations. NOTE: The ML Kit plugin for Flutter (google_ml_kit) is under development and is only available for the Android platform .
Read moreHow do you integrate ML into an app?
The first step is to connect to Firebase services . To do this, you need to enter the Firebase console and create a new project. 3. If you use the on-device API, configure your app to automatically download the ML model to the device after your app is installed from the Play Store.
Read moreHow do you deploy a ML model?
Here are the 7 steps to follow in order to build and deploy the ML project by yourself.
Read moreCan flutter be used for AI?
At the end of this course you will be able to make your own Ai, Deep Learning and Machine Learning Apps for the Android Smart Phones and iOS [iPhones] using Flutter SDK with TensorFlow Lite . TensorFlow Lite is an open source deep learning framework for on-device inference.
Read moreHow do you use the ML model in Flutter?
On-device ML with TFLite models in Flutter apps
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