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and the corresponding icon (such as a thumbs-up, OK, or other) is displayed on the micro:bit’s
LED display. This demonstrates how image recognition technology can be used to trigger specific
outputs, bridging the gap between AI, gestures, and physical devices like micro:bit.

Concepts

1. Image Recognition and AI: Students will understand how a machine learning model (trained
using Google Teachable Machine) can recognize patterns in images, such as hand gestures, and
how this data is processed to create specific outcomes. This links to the broader concepts of
artificial intelligence and image classification.

2. Programming and Microcontroller Integration: The activity highlights how AI can be integrated
with physical computing devices like micro:bit, where the recognized hand gestures are translated
into visual feedback. This introduces students to how programming and microcontroller-based
outputs can be automated using AI-based models.

Fun and Creative AI Concepts 103