Leveraging Custom Machine Learning Models to level up Flutter Apps

This talk explores the transformative potential of on-device machine learning. Learn to create, optimize, and convert custom machine learning models into efficient TensorFlow Lite (TFLite) format. Discover the seamless integration of these models into your Flutter apps using the TF Lite plugin, enabling real-time, on-device machine learning. Whether it’s image recognition, natural language processing, or other AI-driven capabilities, this talk empowers you to elevate your mobile apps. With some fun and cool Machine Learning examples I’ll show how easy it is to integrate ML in Flutter/Android/iOS apps. Join this talk to embrace a new era of innovation and deliver exceptional user experiences with custom ML models in the world of Flutter development.


Session info:

Speaker: Akanksha Singh

Software Engineer at JP Morgan Chase & Co. at JP Morgan Chase & Co.

Date: 15 March 2024

Time: 11:50 - 12:20

Relevant tags:
AI Flutter

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