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A Native Android Shape Recognition App built using MVVM architecture

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andreanlay/shevy

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Shevy - Hand Drawn Shape Recognition

Shevy is an Android app created using Kotlin & Tensorflow Lite as the backend deep learning framework. I made this mini project as a way to practice MVVM build pattern and as a intro to Android Development using kotlin.

The Deep Learning model was trained using some Google's Quick, Draw! datasets by downloading some of the relevant data (circles, squares, stars images, etc..) and converting the numpy bitmaps to trainable images. Detailed training process can be accessed in This colab

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A Native Android Shape Recognition App built using MVVM architecture

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