Everyone’s adding AI to their mobile apps—but how do you do it when you’re sharing code across Android and iOS using Kotlin Multiplatform?

In this talk, we’ll explore how to integrate machine learning or AI features into a KMP codebase, without losing platform flexibility or developer sanity.

You’ll learn:

- How to wrap AI logic (like classification, ranking, summarization) in shared Kotlin code

- When to keep inference on-device vs. in the cloud—and how to support both platforms

- Tips for interop with TFLite, ML Kit, CoreML, and HTTP-based LLM APIs

- Strategies to expose AI features cleanly to both Android and iOS UIs

We’ll walk through real-world examples where adding AI into a KMP project helped build more intelligent, personalized features—without breaking the architecture.