Unlock On-Device AI: Privacy, Speed, and Offline Intelligence in Flutter

Cloud AI is powerful, but what happens when your user is offline, or when data privacy is the top priority?

In this session, we dive into the world of On-Device AI in Flutter. We will explore how to run machine learning models directly on mobile hardware using Google ML Kit and LiteRT (formerly TensorFlow Lite). From real-time object detection to on-device text translation, learn how to build "Edge AI" experiences that are lightning-fast and cost-effective.

What we will cover:

• The Edge Advantage: Why on-device AI is the secret to 2026’s best user experiences (Zero latency, 100% privacy).
• Google ML Kit Deep Dive: Implementing Vision APIs (Face Detection, OCR, Image Labelling) in minutes.
• LiteRT (TF Lite) Integration: How to deploy custom `.tflite` models for specialized use cases.
• New in 2026: A look at the AI Edge SDK and running small LLMs like Gemma locally on mobile.
• Hands-on Demo: Building a real-time "Privacy-First" scanner that works without an internet connection.