Teachable Machine

Teachable Machine is a web-based tool by Google that enables users to create custom machine learning models without writing code. It focuses on three main domains: image recognition, audio classification, and body pose detection. Through an intuitive, browser-based interface, users can collect example data using their webcam, microphone, or uploaded files, then train classification models directly in the browser. The tool provides real-time feedback during training and testing, helping users understand how their model responds to different inputs.

Once trained, models can be exported for use in websites, applications, and hardware projects. Export options include TensorFlow.js, TensorFlow (for Python), and formats compatible with platforms like Arduino and mobile devices. This makes it particularly suitable for educators, students, designers, and developers who want to prototype interactive experiences, educational demos, or accessibility tools. Teachable Machine supports dataset download and model re-use, enabling further refinement in professional ML environments. Its main value lies in lowering the barrier to entry for machine learning, making experimentation and rapid prototyping accessible to non-experts while still producing models that can be integrated into real-world projects.