Building Offline AI Apps with Flutter: Leveraging Gemma for On-Device Intelligence

In a world increasingly dependent on connectivity, what happens when your AI app needs to work offline — securely, privately, and instantly? This session explores how to build intelligent Flutter applications that work seamlessly without an internet connection by integrating Gemma, Google’s open-source family of lightweight language models, for on-device inference.

We’ll walk through the architecture, tooling, and deployment techniques for running LLMs directly on mobile devices, using Flutter as the front end. Learn how to optimize performance, handle local model loading, and design AI features such as smart assistants, summarizers, and language-aware components — all without relying on cloud APIs.

Whether you’re building for privacy-first applications, remote environments, or just want to reduce latency and dependency on network calls, this talk will show you how to unlock a new dimension of mobile AI development with Flutter + Gemma.