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On-Device Machine Learning #13

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WillieCubed opened this issue Sep 30, 2019 · 0 comments
Open

On-Device Machine Learning #13

WillieCubed opened this issue Sep 30, 2019 · 0 comments
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front end Primarily focused on front-end work ml Focused on the app's machine learning features stretch goal Anything that isn't a part of the HashPost MVP

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@WillieCubed
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This would most likely involve the use of Google ML Kit, a Firebase feature, which would allow custom models to be downloaded and evaluated on-device.

Using ML Kit require writing both iOS and Android client code to support the API. In addition, this might involve using CD to have a custom model ready to download on-device.

@WillieCubed WillieCubed added front end Primarily focused on front-end work stretch goal Anything that isn't a part of the HashPost MVP labels Sep 30, 2019
@WillieCubed WillieCubed added the ml Focused on the app's machine learning features label Sep 30, 2019
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Labels
front end Primarily focused on front-end work ml Focused on the app's machine learning features stretch goal Anything that isn't a part of the HashPost MVP
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