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B. State whether the following statements are true (T) or false (F).

1. AI requires coding skills to create gesture recognition models.

2. Google Teachable Machine helps students learn AI concepts.

3. Hand gesture recognition is only useful in games.

4. AI systems can learn from data to make decisions.

5. Teachable Machine can classify gestures in real-time.

C. Fill in the blanks.

1. AI stands for Intelligence.

2. AI systems learn by analysing .

3. Google Teachable Machine can train AI using images, sounds, and .

4. AI hand gesture recognition uses to detect movements.

5. The AI model is trained using of different hand gestures.

21 st
Try It Yourself Activity Century #Technology Literacy
Skills

Activity: Design an AI-Based Waste Sorting System
1. Train AI using Google Teachable Machine to recognise different types of

waste (plastic, paper, metal). The AI system can classify images of waste into
categories, helping to sort materials for recycling.
How to complete the lab:

1. Capture images of different waste types.
2. Use Google Teachable Machine to train the AI to classify plastic, paper, and

metal.
3. Test the model with new images and observe how it sorts the waste.
4. Imagine a system where this AI helps automate waste management in

communities to promote sustainable development.

21 st
Scenario-Based Questions Century #Critical Thinking
Skills

1. Scenario 1: Imagine a smart home system where AI recognises hand gestures
to control lights. How would you use AI for this task?

2. Scenario 2: How could an AI system help in sorting recycling materials in a
smart city?

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