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For example: Lose It!, one of our early users, used ML Kit to build several features in the latest version of their calorie tracker app. With these base APIs, you simply pass in data to ML Kit and get back an intuitive response. If you are a beginner or want to implement a solution quickly, ML Kit gives you five ready-to-use ('base') APIs that address common mobile use cases:

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With ML Kit, you can use machine learning to build compelling features, on Android and iOS, regardless of your machine learning expertise. Beyond the machine learning complexities, sourcing training data can be an expensive and time consuming process, especially when considering a global audience. Even for the seasoned expert, adapting and optimizing models to run on mobile devices can be a huge undertaking. Typically, new ML developers spend countless hours learning the intricacies of implementing low-level models, using frameworks, and more. Getting started with machine learning can be difficult for many developers.

That's why on Tuesday at Google I/O, we introduced ML Kit in beta: a new SDK that brings Google's machine learning expertise to mobile developers in a powerful, yet easy-to-use package on Firebase. As a result, we think machine learning will become an essential tool in mobile development. In today's fast-moving world, people have come to expect mobile apps to be intelligent - adapting to users' activity or delighting them with surprising smarts.

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