Different solutions using ML Kit are available on the google developers platform :
https://developers.google.com/learn/topics/on-device-ml
Our goal is to develop a unified android application which consolidates maximum possible usecases from the sample apps available on ML Kit(both turnkey and TensorflowLite solutions):
https://github.com/googlesamples/mlkit/tree/master/android/vision-quickstart
https://github.com/tensorflow/examples/tree/master/lite/examples
The app should provide a homepage that helps to select/customize all the available usecases provided, and run the selected usecases sequentially and provide the results of the execution.
Different solutions using ML Kit are available on the google developers platform :
https://developers.google.com/learn/topics/on-device-ml
Our goal is to develop a unified android application which consolidates maximum possible usecases from the sample apps available on ML Kit(both turnkey and TensorflowLite solutions):
https://github.com/googlesamples/mlkit/tree/master/android/vision-quickstart
https://github.com/tensorflow/examples/tree/master/lite/examples
The app should provide a homepage that helps to select/customize all the available usecases provided, and run the selected usecases sequentially and provide the results of the execution.