Google’s Android Developer Challenge
We’re bringing back the Android Developer Challenge and asking you to help us unlock new experiences on Android! As we kick off this challenge, the first area we’ll be focusing on is On-Device Machine Learning. At Google, we’re big believers in how this new technology can open up a world of helpful innovation so you can get things done–whether it’s finding the right words with Smart Compose in Gmail, or helping you communicate offline with Google Translate. But there’s so much more this new technology can unlock, and we need your help!
What we’re looking for and how to participate
We’re looking to help support ideas that leverage on-device machine learning to provide something genuinely helpful for users in terms of helping them get things done:
- Take Live Captions: for the almost 500 million people who are deaf and hard of hearing, Live Captions bring content to life and is exactly the type of machine learning-powered innovation we’d like to see more of someday, and with your help we can turn someday into today!
- Your concept can have machine learning functionality can be the basis for the app itself to something that’s more of a feature that supports the overall app experience, as is the case of Smart Compose in Gmail
- Your idea can be still in the concept phase or it can be ready for users; just be sure to tell us how you could use Google’s help, and how it supports the mission of using machine learning to help users get something done. Regardless of what phase your idea is in, we’ll need you to show a path towards bringing it to life by May 1, 2020.
- The idea (1) has to be built for Android and (2) the finished product needs to be distributed as an app on Google Play. We also strongly encourage developers to share their knowledge through open sourcing their code, though this is optional.
- Because we’ll help connect winners of the Challenge with Google engineering experts to provide guidance on bringing your idea to fruition, your idea must leverage a Google-supported on-device machine learning offering, including services like ML Kit, TensorFlow Lite and / or Google Cloud’s on-device machine learning offerings such as AutoML Vision Edge or other on-device model training infrastructure.
View further details online at: https://developer.android.com/dev-challenge