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Build a Teachable Machine Image Classifier With Your Kid

Kids create a hands-on AI project: Build a Teachable Machine Image Classifier With Your Kid. A parent or educator helps them build, test, and explain what the AI tool gets right and wrong.

May 10, 2023 5 min read
Quick Scan

What matters today

Kids create a hands-on AI project: Build a Teachable Machine Image Classifier With Your Kid. A parent or educator helps them build, test, and explain what the AI tool gets right and wrong.

Format KIDS GUIDE
Audience Executives using AI at work
Time 5 min read

Issue 10 • May 10, 2023

Article roadmap

What you will learn

  1. How to access and navigate Google's free Teachable Machine platform.

  2. How to guide your child in gathering training data and training a real machine learning model.

  3. How to test and iterate on the model to understand the core concepts of supervised learning.

As an Executive, you likely discuss artificial intelligence in terms of productivity and strategic advantage. For your children, however, AI is often an invisible force behind their favorite video games and search engines. To prepare them for a future where AI is ubiquitous, we must help them transition from passive consumers of technology to active creators. One of the most effective ways to demystify how computers learn is by building a custom image classifier together. Using Google's free Teachable Machine platform, you and your child can train a real machine learning model in under fifteen minutes. This hands-on project requires no coding experience, no paid subscriptions, and no specialized hardware, making it an ideal weekend activity for children aged eight to sixteen.

Step 1: Setting Up Your AI Lab

To get started, you only need a computer with a working webcam and a few everyday household items. Gather three distinct objects that are easy to hold. Excellent choices include a colorful coffee mug, a small toy car, and a pencil. The goal is to choose items with clear visual differences in shape and color. Sit down with your child at a table where the webcam can easily capture both of you and the objects. Explain to your child that they are about to act as the teacher, and the computer is going to be the student. Just like a human student, the computer needs examples to learn what these objects look like.

Step 2: Accessing the Teachable Machine Interface

Open your web browser and navigate directly to the Google Teachable Machine website at https://teachablemachine.withgoogle.com/ . This tool runs entirely in the browser, meaning no software installation is required, and all data processing happens locally. Click on the Get Started button and select Image Project from the options, followed by Standard Image Model. You will see an interface with two default classes, a training section, and a preview panel. Explain to your child that these classes are like folders where the computer will store the examples they provide.

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Bottom line

A perfect final project is beside the point. Kids should leave the activity able to explain how examples, labels, and feedback shape an AI system, then ask better questions about the tools around them.

About the author

Pierre Bradshaw Founder, PromptHacker.ai

Pierre has spent 25+ years building practical learning and growth systems, with machine-learning work dating back to 2012. PromptHacker kids projects focus on real creation, safety, and AI literacy.

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