Cloud AI is powerful, but what if your app could recognize images, process voice commands, or detect gestures without ever sending data to a server?

In this talk, we’ll explore how to run real machine learning models directly on your users' devices using TensorFlow Lite and Flutter. You’ll learn how to convert models, integrate them using the tflite_flutter plugin, and build apps that are fast, privacy-friendly, and fully offline.

Expect live demos like image classification and gesture recognition, plus practical insights on performance, optimization, and deploying AI at the edge.

Whether you're new to ML or already experimenting with models, this session will leave you ready to bring powerful, real-time intelligence to your Flutter apps, no cloud required.

Target Audience:
- Flutter developers interested in AI/ML
- Mobile developers curious about on-device ML
- Tech enthusiasts eager to build privacy-first apps

Session Duration:
- Preferred: 30 minutes + 10 minutes Q&A
- Can be adapted to 45 minutes if needed