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1. AI-Powered Smart Assistant
- Objective: Teach students how voice assistants like Alexa or Google Assistant work.
- Project: Students can create a simple voice-activated assistant using gadgets like Raspberry Pi with a microphone.
- Tools: Use Raspberry Pi, pre-installed speech recognition software (like Python’s SpeechRecognition library), or an AIY Voice Kit.
- Outcome: The assistant can respond to simple commands, such as setting an alarm or giving weather updates.
2. AI-Powered Image Recognition
- Objective: Demonstrate how AI can recognize and classify images.
- Project: Use a webcam or smartphone to classify objects (like fruits or animals) using Google Teachable Machine.
- Tools: Laptops/tablets with a webcam or smartphone.
- Outcome: Students train the model by uploading images and testing it in real-time. They can point the camera at objects, and the AI identifies them.
3. AI in Robotics with Scratch and micro
- Objective: Introduce AI robotics concepts.
- Project: Students can use microto build a simple robot that responds to voice commands or navigates around objects using AI.
- Tools: micro, Scratch, and basic robotics kits.
- Outcome: The robot can perform tasks such as moving forward, stopping, or turning based on simple AI algorithms.
4. AI-Driven Chatbot
- Objective: Show how AI can simulate conversation.
- Project: Create a simple chatbot that answers basic questions about a topic (e.g., animals or space) using Scratch or Python.
- Tools: Laptops or tablets with Scratch or Python.
- Outcome: Students input questions, and the chatbot gives preset answers or searches the web for responses.
5. AI and Sound Recognition
- Objective: Explore how AI can recognize and respond to different sounds.
- Project: Use smartphones or tablets with apps like Teachable Machine to train a model to recognize sounds like clapping or whistling.
- Tools: Smartphone/tablet with microphone.
- Outcome: The AI recognizes sounds and triggers specific actions, such as playing a song or showing an image on the screen.
6. AI and Face Detection
- Objective: Teach students about face detection and its applications.
- Project: Use gadgets like smartphones or laptops to demonstrate how AI can detect and track faces in real-time.
- Tools: Use the AIY Vision Kit or built-in face detection tools in smartphones.
- Outcome: The device will identify and track faces using the camera, and students can explore different applications (e.g., unlocking phones with face ID).
7. AI-Powered Art Creation
- Objective: Teach how AI can be creative.
- Project: Students use AI tools to generate digital art based on drawings or patterns they create.
- Tools: Smartphones/tablets with AI-powered art creation apps or online tools like Deep Dream.
- Outcome: AI takes student-drawn patterns or images and turns them into unique digital artwork.
8. AI-Powered Health Monitor
- Objective: Introduce AI applications in healthcare.
- Project: Create a simple heart rate monitor using Raspberry Pi or micro. The AI analyzes the data and provides basic health advice.
- Tools: Raspberry Pi or microwith heart rate sensors.
- Outcome: The system displays the student’s heart rate and gives feedback like “You’re healthy!” or “Take a rest.”
9. AI for Personal Fitness
- Objective: Show how AI can be used to track fitness activities.
- Project: Use smartwatches or fitness trackers with AI to monitor student movements and exercise.
- Tools: Smartwatches or fitness trackers.
- Outcome: Students wear the device while exercising, and AI analyzes their activity and suggests improvements or tracks their progress.
10. AI in Music Creation
- Objective: Show how AI can generate music.
- Project: Use AI tools or apps to generate music based on student input, such as tapping rhythms or humming tunes.
- Tools: Smartphones/tablets with music generation apps like JukeBox or Humtap.
- Outcome: AI creates a music track based on the sounds or melodies students provide.
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