Teachable Machine

More About Teachable Machine

Core Strengths:

• Trains image classification models with user‑provided samples.
• Builds sound recognition models using mic or audio files.
• Creates pose classification models with webcam input.
• Tests trained models instantly in the browser.
• Works entirely client‑side no server upload required.
• Exports models for web (TensorFlow.js), mobile (TensorFlow Lite) or embedded use.
• No user account or login required.
• Ideal for prototyping machine learning features.
• Runs fully free with unlimited access.
• Designed for beginners and educators learning ML basics.

Applications:

• Teaching machine learning fundamentals to students
• Rapid prototyping ML features for apps
• Creating simple classifiers for image, sound, or pose recognition
• Adding custom ML models to websites via TensorFlow.js
• Building interactive installations or demos
• Educator labs or classroom AI exercises
• Exploring AI concepts without coding
• Developing proof‑of‑concept ML tools
• Training models on local device data