Class-3 Projects

Objective: Introduce students to AI in art creation.
Project: Use a tablet or laptop to allow students to draw shapes or objects, and an AI assistant can guess what they are drawing (similar to Google’s Quick, Draw!).
Tools: Tablets/laptops with an online drawing app that integrates AI (like Google’s Quick, Draw!).
Outcome: The AI guesses what the student is drawing, making it a fun way to introduce them to image recognition and AI’s ability to learn.

Objective: Teach students how AI recognizes objects.
Project: Use a tablet or laptop camera to identify simple objects, like fruits or toys, using a pre-trained image recognition tool.
Tools: Smartphones/tablets with Google Teachable Machine or an image recognition app.
Outcome: Students show different objects to the camera, and the AI correctly identifies them, introducing them to AI’s ability to “see” and categorize things.

Objective: Show how AI responds to voice commands.
Project: Create a game where students give simple voice commands (like “jump,” “run,” or “stop”), and an AI character on the screen follows their commands.
Tools: Tablets/laptops with voice command functionality, simple coding with Scratch or any voice-based game apps.
Outcome: The AI character responds to the students’ commands, helping them understand speech recognition and how AI interacts with humans.

Objective: Teach students about AI’s ability to detect colors.
Project: Use a smartphone or tablet camera to recognize different colors in the surroundings. Students can hold up colored objects, and the AI announces the color.
Tools: Smartphones/tablets with a color recognition app or Google Teachable Machine.
Outcome: The AI recognizes and names the colors, helping students understand how AI detects and processes visual information.

Objective: Introduce students to voice assistants like Siri or Alexa.
Project: Use a smart device (phone, tablet) to simulate a personal assistant that answers questions like “What’s the weather today?” or “Set a timer for 5 minutes.”
Tools: Smartphones/tablets with voice assistants (Siri, Google Assistant, Alexa).
Outcome: Students learn how AI assistants work by interacting with them, asking simple questions, and giving commands.

Objective: Help students learn about AI’s classification abilities.
Project: Create a fun activity where students show pictures of animals to the AI, and the AI classifies them into groups (e.g., mammals, birds, reptiles).
Tools: Smartphones/tablets with an AI classification tool like Google Teachable Machine.
Outcome: Students learn how AI can classify images and sort them into categories based on training data.

Objective: Introduce students to how AI can generate content.
Project: Use a storytelling app where AI helps complete stories based on a student’s input. Students start a story, and the AI continues with the next sentence.
Tools: Smartphones/tablets with AI-based storytelling apps or tools.
Outcome: The AI assists in creating a story, allowing students to interact with AI in a creative, engaging way.

Objective: Show how AI can recognize and interpret sounds.
Project: Students play different animal sounds from a tablet or phone, and the AI tries to guess which animal made the sound.
Tools: Tablets/smartphones with sound recognition apps or preloaded animal sounds.
Outcome: Students understand how AI processes sound and matches it to known data, enhancing their learning about animals and AI’s listening abilities.

Objective: Teach students about AI in games.
Project: Students interact with a virtual pet that uses AI to respond to their actions (feeding, playing, etc.).
Tools: Smartphones/tablets with AI-powered pet simulation apps.
Outcome: Students play with an AI pet that learns their preferences and responds accordingly, introducing them to AI’s adaptive learning in gaming.

Objective: Teach students how AI can sort and categorize shapes.
Project: Use a gadget to classify and sort shapes (like circles, squares, and triangles) after students draw or show them to the AI.
Tools: Tablets/smartphones with image recognition software or Teachable Machine.
Outcome: The AI identifies and sorts shapes, helping students understand AI’s role in classification.