Giuseppe Cianci

Senior Software Engineer

Talk Title

Building Offline AI: Integrating CNN Models with Flutter Using TensorFlow Lite

Room

Empire Room

Date

20.09.2024

Time

14:35 > 40 min

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Are you interested in harnessing the power of artificial intelligence directly on mobile devices? Do you want to learn how to integrate computer vision capabilities into your Flutter apps, running models offline for real-time performance and enhanced privacy? Join this talk to discover how to build a simple AI app with Flutter using TensorFlow Lite, enabling powerful AI features even without internet connectivity.

In this session, you will:

1. *Dive into Convolutional Neural Networks (CNNs):*
Understand the fundamentals of CNNs, the backbone of most computer vision applications, and why they're essential for tasks such as image recognition and object detection.

2. *Explore TensorFlow Lite:*
Learn how to convert and optimize your TensorFlow models to TensorFlow Lite for efficient on-device inference. Discover the steps to integrate TensorFlow Lite with your Flutter app seamlessly.

3. *Build a Real-world AI App:*
Follow a step-by-step guide to develop a Flutter app that runs a CNN model locally, enabling features like image classification and object detection without needing a network connection.

4. *Optimize for Performance:*
Get practical tips on optimizing your Flutter app for performance, ensuring smooth and efficient AI computations even on resource-constrained devices.

By the end of this session, you'll be equipped with the knowledge and tools to integrate sophisticated AI capabilities into your Flutter apps, creating powerful, offline-ready applications that leverage the latest advancements in machine learning.

Don't miss this opportunity to elevate your Flutter development skills and bring cutting-edge AI to your mobile applications!

Speaker Bio

Giuseppe is a Senior Software Engineer specialized in Flutter. He fell in love with Flutter in early 2020 and has been dedicated to it ever since. He’s also finishing his Master of Science in AI. His interests include testing, automation, and improvisational theatre.

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