Build a Teachable Machine Image Classifier With Your Kid

Introduce your child to the mechanics of machine learning by training a custom computer vision model in fifteen minutes.

Most children interact with artificial intelligence daily, whether through video game matchmaking, video recommendations, or voice assistants. However, they rarely get to see behind the curtain to understand how these systems actually learn. By building a custom image classifier, you can demystify AI, transforming your child from a passive consumer of technology into an active builder. This project requires no coding experience, no paid subscriptions, and no specialized hardware (just a computer with a standard webcam). It offers a hands-on, highly engaging way to build true technological intuition.

The Tool: Google's Teachable Machine

To build our image classifier, we will use a free tool developed by Google called Teachable Machine. It runs entirely in your web browser, meaning no data is sent to external servers, and no account creation is required. This makes it an exceptionally safe and accessible environment for children aged eight to sixteen.

To get started, open a web browser on your computer and navigate directly to https://teachablemachine.withgoogle.com/ . Click on "Get Started" and select "Image Project," then choose the "Standard Image Model."

Step-by-Step Project Guide

We recommend building a classifier that can recognize three different hand gestures or three different household objects (such as a mug, a pen, or a notebook). For this guide, we will build a "Rock, Paper, Scissors" hand gesture detector.

Step 1: Define Your Classes

In machine learning, a "class" is a category of data. On the screen, you will see two default classes labeled "Class 1" and "Class 2." Rename "Class 1" to "Rock" and "Class 2" to "Paper." Click the "Add a class" button at the bottom to create a third class, and name it "Scissors."

Step 2: Gather Training Samples

Now, click the "Webcam" button under the "Rock" class. Have your child hold their hand in a fist (the "Rock" gesture) in front of the camera. Click and hold the "Hold to Record" button.