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 moreHow do you integrate ML model in flutter?
On-device ML with TFLite models in Flutter apps
Read moreHow do you integrate ML model in flutter?
On-device ML with TFLite models in Flutter apps
Read moreCan we integrate ml with flutter?
NOTE: The ML Kit plugin for Flutter (google_ml_kit) is under development and is only available for the Android platform . There is a package called firebase_ml_vision that has similar functionality. It provides a cloud-based ML solution that connects to Firebase and supports both the Android and iOS platforms.1 Haz 2021
Read moreCan we integrate ml with flutter?
NOTE: The ML Kit plugin for Flutter (google_ml_kit) is under development and is only available for the Android platform . There is a package called firebase_ml_vision that has similar functionality. It provides a cloud-based ML solution that connects to Firebase and supports both the Android and iOS platforms.1 Haz 2021
Read more