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1. AI-Powered Image Recognition for Plants
- Objective: Teach students how AI can recognize and classify objects.
- Project: Use a smartphone or tablet camera to identify different types of plants or leaves. Students can take pictures of different plants, and the AI guesses the type of plant.
- Tools: Smartphones/tablets with Google Teachable Machine or other image recognition apps.
- Outcome: The AI identifies different plants based on the images, showing students how AI can be used to classify objects in nature.
2. AI-Powered Virtual Pet
- Objective: Introduce students to AI’s adaptive learning in games.
- Project: Students interact with a virtual pet that learns their preferences, like favorite games or food. The AI-powered pet adapts its behavior based on how students interact with it.
- Tools: Smartphones/tablets with AI-powered pet simulation apps (such as My Talking Tom).
- Outcome: The pet becomes smarter and more responsive over time, teaching students about AI’s ability to learn from repeated interactions.
3. AI for Simple Weather Prediction
- Objective: Show how AI can make predictions based on data.
- Project: Build a simple weather prediction system using a temperature sensor connected to a gadget like Raspberry Pi. The AI will analyze the temperature and make predictions about the weather.
- Tools: Raspberry Pi with temperature sensors, Python for coding.
- Outcome: The AI predicts basic weather patterns, showing students how AI uses data to make predictions.
4. AI-Powered Voice Command Game
- Objective: Teach students how AI responds to voice commands.
- Project: Create a simple game where students give commands like “jump,” “run,” or “stop,” and a virtual character on the screen follows their instructions.
- Tools: Tablets/laptops with voice command functionality, Scratch or a voice-based app.
- Outcome: Students can see how AI interprets voice commands and performs actions, introducing them to speech recognition technology.
5. AI for Animal Classification
- Objective: Help students learn about AI’s classification abilities.
- Project: Use an AI tool where students upload or show images of different animals, and the AI identifies and classifies them into categories (e.g., mammals, reptiles).
- Tools: Smartphones/tablets with Google Teachable Machine or similar apps.
- Outcome: The AI recognizes different animals, helping students understand how AI can categorize information based on data.
6. AI for Color Recognition
- Objective: Teach students about AI’s ability to detect colors.
- Project: Use a smartphone or tablet camera to identify the colors of different objects. Students can scan items in their surroundings, and the AI will announce the color.
- Tools: Smartphones/tablets with color recognition apps or Google Teachable Machine.
- Outcome: The AI names the colors, helping students understand how AI can process and analyze visual information.
7. AI-Powered Story Generator
- Objective: Show students how AI can help generate creative content.
- Project: Use an AI-based storytelling tool where students input the beginning of a story, and the AI continues the story by adding new sentences or ideas.
- Tools: Smartphones/tablets with AI-based storytelling apps or online tools.
- Outcome: Students collaborate with AI to create a complete story, experiencing how AI can assist in creative writing.
8. AI for Sound Recognition
- Objective: Teach students how AI recognizes sounds.
- Project: Use an AI tool that listens to different sounds (like clapping, dog barking, or bells ringing) and guesses what the sound is.
- Tools: Smartphones/tablets with sound recognition apps or pre-loaded sound clips.
- Outcome: Students understand how AI processes sound and matches it to known data, learning about AI’s auditory capabilities.
9. AI-Powered Shape Sorter
- Objective: Teach students how AI can sort and classify objects.
- Project: Use a camera to show different shapes (like circles, squares, or triangles) to the AI, and the AI sorts them into categories based on their shape.
- Tools: Tablets/smartphones with image recognition software or Google Teachable Machine.
- Outcome: The AI correctly identifies and sorts shapes, introducing students to AI’s classification techniques.
10. AI and Personal Assistant Simulation
- Objective: Introduce students to AI personal assistants.
- Project: Students use a smartphone or tablet to interact with voice assistants like Siri or Google Assistant. They can ask simple questions like “What’s the time?” or “Tell me a joke.”
- Tools: Smartphones/tablets with built-in voice assistants.
- Outcome: Students understand how AI assistants work by interacting with them, giving them a fun, hands-on experience with AI.
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