Android Developers: On-device intelligence: Optimized performance and quality using Android ML Kit APIs

In this session, we'll explore different GenAI use cases using ML Kit APIs to understand when on-device GenAI is ideal for an app and also understand how to evaluate existing GenAI use cases to see if on-device models can satisfy their quality bar.



Resources:

Android ML Kit overview → https://goo.gle/4kd3hM1

Android AICore Developer preview → https://goo.gle/4izxio1

Android AI Edge gallery → https://goo.gle/4smvtOK

Android ML Kit samples → https://goo.gle/4sDJS9z

Jetpacker samples → https://goo.gle/4iBaynK





Speakers: David Chou



Chapters:

0:00 - Introduction to on-device AI

4:32 - Optimizing Gemini nano performance and benchmarks

8:27 - Overview of new Gemini API capabilities

10:00 - End-to-end scam detection walkthrough

13:40 - Triaging inputs using prompt API and function calling

16:17 - Retrieving order data with embeddings and appsearch

18:58 - Comparing order details and defining audit verdicts

23:00 - Recap and closing remarks



Watch the intelligent apps sessions from Android Dev Summit 2026 → https://goo.gle/ADS26-Intelligent-Apps

Watch all the sessions from Android Dev Summit 2026 → https://goo.gle/ADS26-All-Sessions





Subscribe to Android Developers → https://goo.gle/AndroidDevs





#AndroidDevSummit2026





Event: Android Dev Summit 2026



Products Mentioned: ML Kit, ML Kit GenAI, Android Performance