Firstly, build on-device machine learning models using Tensorflow and Google ML Kit, and secondly, construct and run a flutter app that uses this model on Android Devices. My application requires persistence because we have an XML database, so we don' t want to destroy the records. In this project, our team will cover two aspects. Run the executable, it will generate appropriate files like dlls in a tmp folder, which will be deleted once the user close the app. In our project, we use Machine Learning to train and run Deep Learning models on the edge devices such as Smartphones, IoT Devices, and devices without an OS like Microcontroller units (MCU). Although there is a package google_ml_kit however it is only available for android yet. In Flutter, certain developments have been done by Google to help developers create the application they want. Flutter is Google's portable user interface (UI) framework for building modern, native, and reactive applications for iOS and Android. It requires knowledge of Machine Learning to create models, for application developers who want to use Machine Learning in the project but don’t know how to create a model. Machine Learning is being used widely in projects today.
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