PH PROMPTHACKER.AI

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 8, 2024 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 36 • May 8, 2024

Article roadmap

What you will learn

  1. How to build a custom computer vision model in under fifteen minutes.

  2. The core concepts of supervised machine learning and training data.

  3. How to test, debug, and improve an AI model using real-world objects.

Most children interact with artificial intelligence daily through video game matchmaking, video recommendations, or voice assistants, yet few understand how these systems actually learn. By building a custom image classifier together, you can demystify machine learning and show your child how computers are trained to see the world. Using a free, web-based tool, this hands-on project requires no coding experience and can be completed on any computer with a webcam.

For busy executives, finding meaningful, educational activities to share with children can be challenging. This project offers a perfect balance of high-tech engagement and low-friction setup. It moves children from passive consumers of technology to active creators. By using Google's Teachable Machine, a free tool designed to make machine learning accessible, you and your child can train a computer vision model in under fifteen minutes.

The project is ideal for children aged eight to sixteen. Younger children will enjoy the immediate feedback of seeing the computer recognize their favorite toys, while older children can dive deeper into the concepts of data bias, model accuracy, and real-world applications.

Setting Up Your Workspace

To begin, you only need a computer (Mac, Windows, or Chromebook) with a working webcam and an internet connection. No software installation or account registration is required, making this a highly secure and private activity.

  • Sit down with your child and navigate to the official tool at https://teachablemachine.withgoogle.com/ .
  • Click on the Get Started button on the homepage.
  • Select Image Project from the list of options, and then choose Standard Image Model. This opens the training interface, which is divided into three clear sections: Input, Training, and Preview.

Step 1: Defining Your Classes

Before gathering data, you must decide what you want your computer to recognize. A highly engaging theme is distinguishing between a healthy snack (like an apple or a banana) and a sweet treat (like a cookie or a juice box).

In the first box, labeled Class 1, click the pencil icon to rename it. Let us name it "Healthy Snack."

Free subscriber access

Keep reading with your free PromptHacker subscription.

Enter the email on your PromptHacker subscription. If access is available, a secure link will arrive in that inbox.

New to PromptHacker? Join the free weekly briefing first.

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.

Email us
Free weekly briefing

Three deep dives. Four useful moves. One email worth opening.

PromptHacker turns the AI firehose into practical next steps for work, health, family, and everything time keeps trying to steal.