microbit-foundation/cctd-ml-machine
GitHub Location for Aarhus University's Center for Computational Thinking and Design's ML-Machine application.
This interactive platform helps you teach a computer to recognize specific physical gestures or movements. You use a micro:bit sensor to record examples of a gesture, then train the system to identify it. Once trained, the system can detect that gesture in real-time and trigger various actions like playing sounds, lighting LEDs, or activating external circuits. This is for educators, makers, or anyone interested in creating interactive projects controlled by simple body movements.
Use this if you want to create custom gesture-controlled projects, like teaching a robot to respond to a hand wave, or designing interactive art that reacts to specific movements.
Not ideal if you need to recognize highly complex, nuanced gestures, or if you require advanced machine learning features beyond basic classification with external sensors.
Stars
10
Forks
20
Language
Svelte
License
MIT
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
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