Best for
Classroom AI/ML experiments for beginners
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Browser
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Teachable Machine
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Designed for younger learners; limited model complexity
What It Does
Created by IBM engineer Dale Lane, Machine Learning for Kids teaches you to train ML models and then use them in Scratch projects. You label training data (text, images, numbers, or sounds), train a model on IBM Watson, and then use custom Scratch blocks to build interactive projects powered by your model. It bridges the gap between understanding AI conceptually and building something with it.
Setup in 5 Minutes
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AI Analysis
Frameworks from the aiborg Handbook — powered by Claude