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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.

June 21, 2023 4 min read
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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 4 min read

Help your child transition from a passive consumer of technology to an active builder of artificial intelligence.

Article roadmap

What you will learn

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

  2. The process of gathering, labeling, and training visual data.

  3. Key concepts of supervised learning to discuss with your child.

Children today are surrounded by artificial intelligence, yet most experience it passively through recommendation algorithms or voice assistants. To prepare them for a future shaped by technology, they must understand how these systems learn.

Using Google's free Teachable Machine tool, you and your child (ages 8 to 16) can build, train, and test a custom machine learning model in under thirty minutes. This project requires no coding, no paid subscriptions, and no specialized hardware, just a standard laptop with a webcam and a curious mind.

Demystifying AI for the Next Generation

Many children view AI as a magical entity that possesses human-like intelligence. This project demystifies that perception by showing them that AI is simply a system that looks for patterns in data. By building an image classifier, your child will learn that computers do not inherently know what an object is, they must be taught using examples.

This hands-on activity fosters critical thinking, data literacy, and problem-solving. It shifts their relationship with technology from consumption to creation, showing them that they have the power to program and control these advanced systems.

Step 1: Access the Platform

To begin, open a web browser on your computer and navigate to Teachable Machine . Click on the "Get Started" button and select "Image Project" from the options. Choose the "Standard Image Model" which is optimized for standard webcams.

The interface is divided into three clear sections: Gathering Data (Classes), Training, and Preview. This simple layout allows children to easily follow the flow of data from input to output.

Step 2: Define Your Classes

Before recording, decide what you want your model to classify. Simple, high-contrast items work best. Excellent options include:

  • A toy action figure versus a toy car.
  • An apple versus a banana.
  • A "Thumbs Up" hand gesture versus a "Thumbs Down" gesture.

Rename "Class 1" and "Class 2" on the screen to match your chosen items. For example, label them "Lego Brick" and "Action Figure".

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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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