DevFest Kuwait - Superpower Your Android Apps with ML

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About this event

In this session, my major aim would be to provide an overview of the different tools one could use to power their Android apps with Machine Learning and also discuss the new additions for Machine Learning in Android 11 specifically the Model Binding Plugin and ML Kit. I would first go on to explain the standard procedure of using pre-trained models with MLKit. I would show how we could take the idea of MLKit forward and use pre-trained models from TensorFlow Hub to run right in the app, which would provide support to build high-quality machine learning apps based on models contributed from the community. I would then show how we could use custom TFLite models in Android apps, I would also talk about TensorFlow Model Maker and ML Model binding plugin in Android Studio through which I plan to show how easy it is to now use custom TF Lite models in Android apps. With Android 11 the NN API now supports Asymmetric integer weights making model sizes and inferences even smaller opening up an even larger opportunities for edge ML.

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Organizers

  • Zainab AlMeraj

    Zainab AlMeraj

    Kuwait University

    GDG Organizer

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  • Shorook Saleh

    Shorook Saleh

    GDG Organizer

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  • Maryam AlMahdi

    Maryam AlMahdi

    Kuwait university, GDG Kuwait organizer

    GDG Organizer

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  • Hafsa ALmuhanna

    Hafsa ALmuhanna

    Kuwait University

    Organizer

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  • Umaima Eftikhar

    Umaima Eftikhar

    Organizer

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  • Fatemah Husain

    Fatemah Husain

    Kuwait University

    Assistant Professor

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  • Shorook Al-Sayegh

    Shorook Al-Sayegh

    Kuwait Informatin Technology Society

    Board Member

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