What is Teachable Machine?

Teachable Machine is a web‑based platform that enables users to create TensorFlow.js models for image, audio, and pose classification without writing code. Users collect and label training data through file uploads or live webcam capture, train the model directly in the browser, and evaluate accuracy in real time.

Once a model is trained, it can be downloaded or exported to TensorFlow, p5.js, Node.js, Coral, or Arduino formats, allowing integration with web applications, games, or physical devices. The tool supports educational use cases, rapid prototyping, and interactive projects for students, teachers, hobbyists, and developers seeking an accessible entry point to machine learning.

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Teachable Machine's key features

Train image, sound, pose models
Web-based interactive model creation
No coding required for training
Export models to TensorFlow.js
Supports on-device training
Integrate with P5.js, Node.js, etc.

Teachable Machine use cases

Build a custom real‑time hand gesture recognition app for accessibility, leveraging Teachable Machine’s webcam labeling and export to Node.js for instant feedback
Create a DIY plant disease detection tool in a greenhouse, training a model with labeled images and deploying it to a web dashboard to alert growers
Develop an educational physics demo that classifies motion poses via webcam, exporting the model to Arduino for interactive classroom experiments