# AI Assistant

## Overview
In this chapter, students learn how Artificial Intelligence (AI) works by exploring its capabilities and limitations through interactive activities. They understand how AI learns, processes information, and assists humans. As a project, students collect data, train a machine using image recognition tools, and build an AI Assistant to help someone new in their locality. They also learn about responsible data collection, ethics, and internet safety.

## Key Topics Covered

### 1. Understanding Intelligence and AI
- **Human Intelligence**: Ability to learn from new situations and apply past learning.
- **Artificial Intelligence (AI)**: Technology that mimics human learning through data and instructions.
- **Learning Process**: AI is trained with multiple examples and slowly learns to recognize patterns (e.g., recognizing banyan trees through images).

### 2. AI and Human Capabilities
- **Comparison Activities**:
- *Speed Test*: Comparing human and machine calculation speeds.
- *Drawing Game*: Using AI tools like Quick Draw to identify images.
- *Prediction Game*: Comparing human predictions with Google Maps.

### 3. How AI Sees, Listens, and Speaks
- **Seeing**: Image recognition via apps like Google Lens and Photomath.
- **Listening**: Tools that recognize sounds and improve speech clarity (e.g., hearing aids).
- **Speaking**: Tools that generate speech from text and help those who can't speak (e.g., Prof. Stephen Hawking’s AI communication system).

### 4. Can AI Be Creative?
- **Story Writing Activity**:
- Students write a story from personal experience.
- Compare with a version written by AI using a prompt.
- Reflect on AI’s creativity and limitations.

- **Drawing with AI**:
- Use AI tools like AutoDraw to enhance hand-drawn sketches.

### 5. Creating an AI Assistant

#### Activity 4: Planning the Assistant
- Students imagine helping someone new in their locality by collecting useful information (e.g., food, plants, music, greetings).
- Categories include food, plants, animals, music, dance, tourist places, and local communication.

#### Activity 5: Data Collection
- **Image Data**: Students take or search for photographs from varied angles, brightness levels, and backgrounds.
- **Example**: Aisha collects images of different mango varieties (e.g., Alphonso, Malgova).
- Students log details in a data table including source, number of images, and rejections.

### 6. Training the AI Model

#### Activity 6: Teaching the Machine
- Use platforms like **Teachable Machine**.
- Organize image folders by category and sub-category.
- Upload, label, and train the model to recognize different data.

#### Activity 7: Testing and Improving
- Students test the model by uploading new images or using webcam input.
- If the model performs poorly, they collect more diverse data and retrain.
- Save and export the trained model.

### 7. Making the Assistant Interactive

#### Activity 8: Adding Animation and Personality
- Use **MIT AI Raise Playground** with tools like Scratch.
- Add characters, questions, responses, and animations.
- Personalize the assistant's tone (e.g., fun, formal).

#### Activity 9: Sharing and Feedback
- Students share their assistants with peers.
- Collect feedback and make improvements.
- Reflect on what they learned about their locality and the AI development process.

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## New Terms and Definitions

| Term | Simple Definition |
|--------------------|-------------------|
| Artificial Intelligence (AI) | Machines that learn and do tasks like humans |
| Data | Information collected in the form of pictures, numbers, words, etc. |
| Machine Learning | Teaching a machine by giving it lots of examples |
| Image Recognition | Identifying objects or images using AI |
| Prompt | Instruction or sentence given to AI to get a response |
| Algorithm | A set of step-by-step instructions to complete a task |
| Teachable Machine | A tool to train AI to recognize images or sounds |
| Scratch/MIT AI Raise | A tool to add characters, voice, and interactivity to projects |
| Webcam | A camera used to take live photos or videos on a device |
| Voice to Text/Text to Voice | Tools that change speech into written words or vice versa |

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## Practice Questions

### Easy (3)
1. **What does AI stand for?**
→ *Artificial Intelligence*

2. **Name one app that helps AI see.**
→ *Google Lens*

3. **Who used AI to help him speak?**
→ *Prof. Stephen Hawking*

### Medium (2)
4. **How can AI assist someone new to your locality?**
→ *By giving them information about local food, places, and customs.*

5. **Why is it important to collect data from different angles and lighting?**
→ *So AI can recognize things in all conditions.*

### Difficult (3)
6. **Explain the difference between human intelligence and AI.**
→ *Humans can feel emotions and make decisions with creativity. AI can only do what it is trained to do.*

7. **Describe how you trained your AI model using Teachable Machine.**
→ *I uploaded labelled images in folders, trained the model, and tested it using new pictures or webcam.*

8. **How can AI help people with hearing or speaking problems?**
→ *AI can improve sounds and convert text to speech or vice versa.*

### Very Difficult (2)
9. **Can AI create art or stories like humans? Justify your answer.**
→ *AI can generate content but lacks personal feelings and human experiences.*

10. **What steps would you follow to plan and complete your AI Assistant project?**
→ *Define task → Collect and organize data → Train AI → Test model → Add interactivity → Share and improve.*

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