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Firebase ML Kit: Mobile Machine Learning Made Easy

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Harshit Dwivedi
Android Developer and Instructor at Coding Blocks
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MBLTdev 18
September 28 2018, Москва, Россия
MBLTdev 18
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Firebase ML Kit: Mobile Machine Learning Made Easy
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About speaker

Android Developer who’s been working on the platform since the past 2 years and an avid tech blogger, Harshit is passionate about anything and everything related to android. He was one of the first Google certified Android developers in India and is currently an Android Instructor at CodingBlocks, a startup in New Delhi. Being an Open Source enthusiast he’s also been a part of various programs like Google Summer of Code and Google Code In in the past. Right now Harshit is working with Udacity and Coding Blo

About talk

Topic: IT
Track: iOS

At I/O 2018, Google released the Firebase ML Kit which creates various exciting opportunities for Android Developers aiming to build smart apps without having to worry about the nitty-gritty of Machine Learning.

The Firebase ML Kit APIs offer features like face detection, text recognition, object detection, etc.

Your apps can also label a provided image for special characteristics and identify popular landmarks in a picture.

In this talk, you will learn how to use all the APIs available in Firebase ML Kit by using a sample app that utilizes these APIs. Walk through the working of each API and implement them in your own apps.

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