#AndroidDevChallenge – Helpful innovation, powered by machine learning

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As Android pushes the boundaries of machine learning, 5G, foldables, and more, developers continue to help shape these new frontiers.

To celebrate this work, we revived the #AndroidDevChallenge with a focus on “Helpful Innovation,” powered by on-device Machine Learning.

Take a look at the 10 winners of the #AndroidDevChallenge, who have been hard at work over the last few months turning their ideas into reality. They used tools like #MLKit and #TensorFlowLite to unlock some incredible experiences designed to help users get things done.

Resources:
Download the apps → https://goo.gle/dev-challenge-winners
Learn more → https://goo.gle/2Y9gH1e

Related Playlists:
Machine Learning – 11 Weeks of Android playlist → https://goo.gle/ml-11weeks
11 Weeks of Android playlist → https://goo.gle/android-11weeks

Subscribe to Android Developers → https://goo.gle/AndroidDevs

#featured #android11 #11WeeksOfAndroid

Comments

athu Bhardwaj says:

Sir can you help me?? Can a app developer reach to our gallery and media files stored in our phone (private photos and videos) if we had given him a storage permission? Even if we don't upload photos and videos on his app ?? Plz answer me? 😔

Maarttttt says:

Is it just me or are the IO talks kind of lackluster this year? It seems like nothing new.

Kris B says:

Need more Wear OS development!

Oluwatobi Akinpelu says:

Go Go Go David Kathor!!!! I love your app. Building apps that solve mobile money issues in Africa is an important use case.

pandoricusable says:

This can't be played in the background (?)

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