Hello everyone 👋. This time, my friends and I are working on a really fun and unique project: a hand-gesture-controlled robot. Instead of using buttons or a remote, we wanted the robot to respond to our movements, so we decided to use Teachable Machine to train different hand gestures. After collecting the data, we taught the model to recognize specific gestures like open hand, closed fist, or thumbs up. Each gesture is linked to a command that the robot will follow, making the interaction feel more natural and modern.

Once the gesture model was ready, we integrated it into MakeCode to actually control the robot. We connected the prediction output from Teachable Machine to different movement blocks, such as moving forward, turning, or stopping. This part was both exciting and challenging because we had to make sure the robot responded accurately to each gesture. In the end, the project taught us a lot about machine learning and robotics, and we’re proud that we managed to combine both into one cool, working system.

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