Google’s ML Kit brings the power of machine learning and AI to mobile developers - with a platform optimized to run on-device for Android and iOS - freeing mobile AI from dependence on server and cloud. Easy-to-use APIs provide ML model access and processing pipelines - leveraging some of the solutions used in Google’s own ML experiences on mobile.

In this session, Amaan Kulshreshtha, Digital & Business Integration Senior Analyst at Accenture, will show you how to integrate ML Kit with the popular React Native mobile framework to create a text recognition app based on camera input and mobile gallery selections processed through pre-loaded models. This will be an advanced technical session that developers can follow along hands on, so please do keep sight of the prerequisites below for a list of things to set up your environment.

AGENDA

• De-facto AI integration strategies
• A Simpler Solution: Intro to Google's ML Kit
• Existing Integration Solutions
• Hands-On: Build A Mobile Text Recognizer with React Native & ML Kit

PREREQUISITES

• Basics of React/React Native/Node.js + AI/ML knowledge
• Android Device (if using an Apple device, would require a paid Apple Developer account)
• Android Studio environment setup for app deployment https://developer.android.com/studio/install (can use emulator instead too if familiar)
• Node.js https://nodejs.org/en/download/