Keep testing the model on the Pi and see how it works. If you find that the prediction is consistently wrong, you can add more images to the model to improve its performance.
You can train an ML model to recognize all sorts of objects and then use the BrainCraft to trigger actions in the physical world!
To learn how to do this, check out these more advanced projects:
