CLASS 8 ARTIFICIAL INTELLIGENCE : UNIT 3 – PROJECT 0: PRESENTATION

1️⃣ SHORT NOTES FOR REVISION

🌟 3.1 Recap: What Is Artificial Intelligence?

Human Intelligence vs Artificial Intelligence

Human Intelligence	Artificial Intelligence
Ability of humans to think, learn, and make decisions.	Ability of machines to think, learn, and make decisions.
Works naturally, developed through experience.	Works using data and algorithms.
Example: You learn to identify fruits by seeing and tasting.	Example: AI learns to identify fruits using thousands of pictures.

👉 In short: AI is a machine’s ability to think and learn like humans.

Automation vs Artificial Intelligence

Automation	Artificial Intelligence
Machines work on their own using fixed instructions.	Machines think and learn to improve decisions.
Works on repetitive physical tasks.	Works on learning and decision-making tasks.
Example: Washing machine, traffic signal.	Example: Face recognition, Siri, Alexa, ChatGPT.

Summary:
Automation = Doing work automatically
AI = Doing work intelligently

💡 3.2 Applications of Artificial Intelligence

AI is used everywhere around us. Here are some examples:

Field	Example	Purpose
Entertainment	YouTube video suggestions	Shows content you like.
Navigation	Google Maps	Finds shortest travel routes.
Communication	Alexa, Siri, Google Assistant	Understands and answers questions.
Healthcare	Smartwatches	Monitors heart rate and activity.
Education	AI tutoring apps	Personalized learning support.
Security	Face unlock in phones	Recognizes authorized users.

Activity Idea:
Ask students to list 5 ways they use AI in their daily life (e.g., Google search, autocorrect, music recommendations, etc.)

🧩 3.3 Domains of Artificial Intelligence

AI can perform different kinds of tasks. These tasks fall under three main domains.

1. Computer Vision (CV)

• Machines see and understand images or videos.
• Example:
  • Face recognition in phones.
  • Traffic cameras identifying vehicles.
• Use: Helps machines “see” like humans.

2. Natural Language Processing (NLP)

• Machines understand and process human language (spoken or written).
• Example:
  • Alexa or Google Assistant understanding commands.
  • Chatbots answering customer questions.
• Use: Helps machines “understand language”.

3. Data (Statistical Analysis)

• Machines analyze large amounts of numbers or data to find patterns or predictions.
• Example:
  • Predicting weather using temperature and humidity data.
  • Predicting exam results using previous year’s performance.
• Use: Helps machines “think” using numbers and logic.

Quick Match Activity

Match the AI use with the correct domain:

Use	Domain
1. Self-driving car camera	🟩 Computer Vision
2. Chatbot answering questions	🟦 NLP
3. Predicting sales or rainfall	🟥 Data

🌍 3.4 AI and Sustainability

AI can also help in making our planet more sustainable.

Examples:

• Predicting floods or droughts using data (helps farmers).
• Monitoring pollution and forest cover using satellites.
• Reducing electricity waste using smart energy systems.

Conclusion:
AI can help achieve Sustainable Development Goals (SDGs) by solving real-world environmental and social problems.

🔁 3.5 Recap: AI Project Cycle

Let’s recall the six stages of an AI Project Cycle:

Stage	Task	Example
1. Problem Scoping	Identify the problem	Air pollution in city
2. Data Acquisition	Collect data	Air quality readings
3. Data Exploration	Understand data	Charts of pollution trends
4. Modeling	Build AI model	Predict air quality
5. Evaluation	Test model	Check accuracy
6. Deployment	Deliver solution	Mobile app with alerts

🧭 3.6 AI Ethics (Recap)

We must make sure AI follows moral and social values.

Ethical Principle	Meaning
Human-Centric	AI should help humans, not harm them.
Unbiased	AI should treat everyone fairly.
Data-Protective	Keep user data safe and private.
Sustainable	AI should support environment and social welfare.

🗣️ 3.7 Dialogue on AI Project Template

This is a fun activity to help students present all their learning through a short conversation with a “Best Friend”.

Step 0 – Friends Forever!

Draw yourself and your best friend.
Write their name and imagine you are explaining AI to them.

Step 1 – What Is AI?

🧑‍🤝‍🧑
Friend: What is AI?
You: AI means Artificial Intelligence — the ability of machines to think and learn like humans.

Step 2 – Applications of AI

Friend: Where is AI used?
You: It’s used in YouTube recommendations, Google Maps, digital assistants like Alexa, and even in self-driving cars.

Step 3 – Domains of AI

Friend: Can AI do all types of work?
You: AI works in three main areas — Computer Vision, NLP, and Data Analysis.

Step 4 – AI Use Case

Friend: Can AI help in solving real problems?
You: Yes! For example, AI can help predict air pollution or detect plant diseases in farms.

Step 5 – Mapping AI Use Case to Project Cycle

Friend: How will we make this AI system?
You: We’ll follow six steps — Problem Scoping, Data Acquisition, Data Exploration, Modeling, Evaluation, and Deployment.

Step 6 – AI Ethics

Friend: Is there any risk in using AI?
You: Yes, we must follow AI Ethics — AI should be fair, unbiased, and protect data privacy.

Step 7 – Presentation Time!

Now present your dialogue in pairs before your class.
Speak clearly and confidently.
You may also use posters or slides to support your talk.

🤝 3.8 Group Projects

GROUP PROJECT 1: 4W Problem Canvas

Activity: Create a problem statement using the 4Ws.

1. Form groups of 5–6 students.
2. Select a theme from below:
   • Agriculture
   • Food Processing
   • Dairy Farming
   • Healthcare
   • Retail
   • Banking & Finance
   • Tourism/Hospitality
3. Identify a problem and fill this Problem Statement Template:

Our (who) has a problem that (what) when (where).
An ideal solution would (why).

Example:

Our farmers have a problem that crops are being affected by pests when they cannot identify diseases early.
An ideal solution would be an AI-based mobile app that detects crop disease from pictures.

GROUP PROJECT 2: AI Tools & Solutions

1. Choose a field (from the list above).
2. Create 5 AI-based tools/solutions for that field.
3. Explain how each tool helps.

Example (Healthcare):

Tool	Function
AI Doctor Chatbot	Gives first aid advice to patients.
AI Scan Analyzer	Reads X-rays and MRI scans faster.
Fitness Tracker	Monitors heart rate and sleep.
Medicine Reminder App	Reminds patients to take medicines.
Disease Prediction Model	Predicts chances of illness using data.

📝 3.9 Quick Revision

Topic	Key Points
AI Definition	Machine’s ability to think and learn like humans.
Domains of AI	Computer Vision, NLP, Data Analysis.
Applications	Google Maps, YouTube, Alexa, Self-driving cars, Health apps.
AI Project Cycle	6 stages from problem to deployment.
AI Ethics	Responsible, fair, safe use of AI.
Project Template	Dialogue with friend + 4W problem statement.

SUMMARY:

Artificial Intelligence combines technology and ethics to solve real-world problems responsibly.
By understanding AI’s domains, project cycle, and ethical rules, students can become AI creators — not just users!

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2️⃣ 20 BEST MULTIPLE CHOICE QUESTIONS (MCQs)

1. AI stands for:
A. Automatic Information B. Artificial Intelligence C. Automated Interface D. Artificial Input
✅ Answer: B

2. AI is a machine’s ability to:
A. Feel emotions B. Think and learn C. Work without electricity D. Store files
✅ Answer: B

3. Which of the following is an example of automation?
A. Alexa B. Face unlock C. Washing machine D. ChatGPT
✅ Answer: C

4. Which is an example of Artificial Intelligence?
A. Printer B. Self-driving car C. Fan D. Light switch
✅ Answer: B

5. The main difference between Automation and AI is:
A. AI learns and decides B. AI works on fixed rules C. Automation learns D. Both are same
✅ Answer: A

6. Computer Vision helps AI to:
A. Understand text B. See images and videos C. Speak languages D. Predict numbers
✅ Answer: B

7. Natural Language Processing allows AI to:
A. Learn math B. Understand human language C. Drive cars D. Play games
✅ Answer: B

8. Statistical AI focuses on:
A. Art B. Emotions C. Numbers and patterns D. Physics
✅ Answer: C

9. Which of these is not an AI domain?
A. Computer Vision B. NLP C. Data Analysis D. Animation Design
✅ Answer: D

10. Example of AI in entertainment:
A. YouTube suggestions B. Sewing machine C. Lift D. Bulb
✅ Answer: A

11. AI in healthcare can:
A. Predict diseases B. Build roads C. Store documents D. Print photos
✅ Answer: A

12. Which stage of AI Project Cycle defines the goal?
A. Modelling B. Data Exploration C. Problem Scoping D. Deployment
✅ Answer: C

13. In which stage do we collect information?
A. Evaluation B. Data Acquisition C. Modelling D. Deployment
✅ Answer: B

14. Visual representation of data is done in:
A. Data Exploration B. Problem Scoping C. Deployment D. Testing
✅ Answer: A

15. AI that predicts tomorrow’s weather works in which domain?
A. NLP B. Computer Vision C. Data D. Robotics
✅ Answer: C

16. AI Ethics ensure:
A. Profit only B. Responsible and fair use C. Fastest results only D. None
✅ Answer: B

17. Which principle protects user information?
A. Sustainable B. Unbiased C. Data-Protective D. Human-Centric
✅ Answer: C

18. The 4W Canvas is used in which stage?
A. Problem Scoping B. Data Acquisition C. Modelling D. Evaluation
✅ Answer: A

19. Example of sustainable AI use:
A. Reducing pollution using sensors B. Replacing teachers C. Fake videos D. Job loss
✅ Answer: A

20. What does deployment mean?
A. Collecting data B. Testing model C. Making AI ready for use D. Deleting data
✅ Answer: C

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3️⃣ VERY SHORT ANSWER QUESTIONS (VSAQs)

1. Define Artificial Intelligence.
   → AI is the ability of machines to think, learn, and make decisions like humans.
2. What is Automation?
   → Machines working automatically based on fixed instructions.
3. Name the three domains of AI.
   → Computer Vision, Natural Language Processing, and Data Analysis.
4. Give one example of AI in communication.
   → Alexa or Google Assistant.
5. What is Computer Vision?
   → It enables machines to see and understand images or videos.
6. What is NLP?
   → Natural Language Processing helps AI understand human language.
7. What does “sustainable AI” mean?
   → AI that supports society and the environment responsibly.
8. What is the first stage of the AI Project Cycle?
   → Problem Scoping.
9. What does the term “deployment” mean?
   → Making the AI model available for use.
10. What is the goal of AI Ethics?
    → To ensure fairness, privacy, and responsible use of AI.

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4️⃣ SHORT ANSWER QUESTIONS (SAQs)

1. Differentiate between Automation and AI.
   → Automation follows fixed instructions, while AI can think, learn, and improve from data.
2. List any three applications of AI in daily life.
   → Google Maps, YouTube suggestions, and Face Unlock.
3. What are the three main domains of AI?
   → Computer Vision, NLP, and Data Analysis.
4. How does AI help in sustainability?
   → By predicting natural disasters, monitoring pollution, and saving energy.
5. Why is AI Ethics important?
   → It ensures AI is used safely, fairly, and for the benefit of humans.
6. What happens in the Modelling stage?
   → The AI model is trained to make predictions or decisions.
7. Why is Evaluation important in AI projects?
   → It tests the model to check its accuracy and performance.
8. How can AI support education?
   → AI tutors personalize learning and help students practice better.
9. Give one example of bias in AI.
   → Voice assistants using only female voices.
10. What is the use of the 4W Canvas?
    → It helps define who, what, where, and why of a problem.

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5️⃣ LONG ANSWER QUESTIONS (LAQs)

1. Explain the difference between Automation and Artificial Intelligence with examples.
   → Automation performs repetitive tasks automatically, like a washing machine or traffic light. AI, however, learns and makes intelligent decisions, like Siri or self-driving cars. While automation saves time, AI adds reasoning and learning ability to machines.
2. Describe the three domains of AI with examples.
   → (i) Computer Vision – Machines see (e.g., Face Unlock).
   (ii) NLP – Machines understand language (e.g., Chatbots).
   (iii) Data Analysis – Machines predict outcomes (e.g., Weather forecast).
3. What are the six stages of the AI Project Cycle?
   → Problem Scoping, Data Acquisition, Data Exploration, Modelling, Evaluation, and Deployment. Each stage helps in building, testing, and delivering an effective AI solution.
4. How does AI contribute to sustainability?
   → AI predicts climate changes, reduces waste, and promotes clean energy. It supports the UN’s SDGs by helping humans manage resources better and protect nature.
5. Why should AI always follow ethical principles?
   → Ethical AI ensures fairness, transparency, privacy, and equality. Without ethics, AI may become biased or harmful. Responsible AI builds trust and serves humanity positively.

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6️⃣ SOURCE-BASED / CASE-BASED QUESTIONS

Case 1: AI in Agriculture

Farmers use AI-powered apps to detect crop diseases through images and get solutions instantly.

Questions:

1. Which AI domain is used here?
2. Which stage of the AI Project Cycle involves image collection?
3. How does this AI support sustainability?

Answers:

1. Computer Vision.
2. Data Acquisition.
3. It reduces pesticide use and increases healthy crop yield.

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Case 2: AI for Smart Traffic

A city installs AI cameras that detect traffic jams and control signals automatically.

Questions:

1. Which AI domain is applied?
2. Which stage focuses on testing model performance?
3. Why must this AI follow ethical principles?

Answers:

1. Computer Vision.
2. Evaluation.
3. To prevent misuse of vehicle or driver data.

Case 3: Chatbots in Education

Many schools use AI chatbots to answer student queries and assist in homework.

Questions:

1. Which AI domain is involved?
2. How can this AI system help teachers?
3. What ethical issue must developers watch for?

Answers:

1. NLP (Natural Language Processing).
2. It saves time and gives instant support to students.
3. Protecting students’ private data.

7️⃣ SOLVED EXERCISE-END QUESTIONS (NCERT-BASED)

Q1. What is the difference between Automation and Artificial Intelligence?
→ Automation performs fixed, repetitive tasks, while AI can learn and make intelligent decisions.

Q2. List any three applications of AI in daily life.
→ Google Maps, YouTube recommendations, and digital assistants like Siri.

Q3. Name the three main domains of AI.
→ Computer Vision, Natural Language Processing, and Data Analysis.

Q4. Explain the importance of AI Ethics.
→ AI Ethics ensures fairness, privacy, and responsible development of technology.

Q5. What are the six stages of the AI Project Cycle?
→ Problem Scoping, Data Acquisition, Data Exploration, Modelling, Evaluation, and Deployment.

Q6. Create a problem statement using the 4Ws method.
→ Our farmers (who) face crop damage (what) during rainy seasons (where). An ideal solution would use AI to predict rainfall and protect crops (why).*

Q7. How can AI help make our planet sustainable?
→ By predicting natural disasters, tracking pollution, and optimizing energy use.

Q8. Write two examples of bias in AI.
→ (i) AI showing only male doctors. (ii) Voice assistants with only female voices.