Imagine turning your smartphone into an AI-powered visual assistant that can recognize objects, analyze scenes, and respond to the world around you—all in real-time. In this practical, code-driven session, I'll demonstrate how to integrate camera functionality with cutting-edge AI models (Gemini, OpenAI,) in Flutter applications.

You'll learn:
- How to capture and process camera input efficiently in Flutter
- Techniques for sending image data to AI services like Gemini and OpenAI
- Methods for parsing and displaying AI responses in user-friendly ways
- Tips for optimizing performance and addressing battery/resource constraints
- Real-world applications including streamlining warehouse processes and accelerating tedious manual tasks

Who should attend:
- No previous AI experience needed—we'll start from the basics
- Flutter developers looking to incorporate powerful AI capabilities
- Product managers seeking to understand visual AI possibilities
- Anyone interested in leveraging existing device hardware (cameras) for AI applications
- Developers wanting practical solutions for real-world efficiency problems

Join me for this hands-on exploration of the intersection between mobile development and artificial intelligence. You'll leave with working code examples and the knowledge to build your own intelligent visual applications that can transform everyday workflows.