Scenario 1 of 3

Cats vs Dogs

What You'll Learn

How AI models learn from training data
How missing data leads to incorrect predictions
Why diverse training data is important

Your Mission

You're training an AI model to tell the difference between cats and dogs. The model will learn ONLY from the images you select.

How It Works

You'll see 10 images of cats and dogs. Pick which ones to include in your training set. Then we'll test the model on NEW images it hasn't seen before.

The Catch

If your training set is missing certain types of cats or dogs, the model will fail on those types. Choose wisely!

Note: This is a simplified simulation. Real AI models are much more complex — they analyze thousands of features like shapes, textures, and patterns using neural networks. But the core lesson is real: AI can only learn from the data you give it. If the training data is biased or incomplete, the AI will be too.

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