[ CBSE CLASS 8 / ARTIFICIAL INTELLIGENCE / CHAPTER 2 / 2026-27 ]

Class 8 AI: AI Applications with No-Code Tools – Questions and Answers

The Class 8 AI Applications with No-Code Tools chapter has students build simple AI models without programming, using tools such as Google Teachable Machine: create classes, add examples, train, then test. Students learn why varied examples and fair testing make a better model.

Skills: Algorithmic thinking · Pattern recognition · Linked to Part 2: Artificial Intelligence

[ WORKED EXAMPLE ]

What does a “no-code” AI tool let you do?

Answer: Train an AI model by giving examples and clicking, without writing code.

  1. No-code tools hide the programming behind buttons.
  2. You upload or record examples and press train.
  3. Google Teachable Machine is one example.

What this chapter is about

No-code tools let students train image, sound or pose models by giving examples and clicking train, with no code required.

The workflow mirrors the lifecycle: define classes, collect examples, train, test, then improve the weak classes.

Students measure accuracy, see why models fail on unfamiliar backgrounds, and think about privacy when using photos of people.

[ INTERACTIVE DEMO / NO CODE ]

Train your own fruit classifier

Add training examples by tapping the chart, then switch to Test and tap anywhere. The AI looks at the 3 nearest examples and votes. The shaded areas show what it has learned. Try adding a mango among the lemons and watch the boundary move.

🍋🍋🍋🥭🥭🥭Size →Sweetness →
Tap the chart to add a lemon example.

Think about it: what happens with only one example of each fruit? Why do wrong or unbalanced examples move the boundary? This is why real AI needs lots of varied, correctly labelled data.

[ PRACTICE MODE / 6 QUESTIONS ]

Try it yourself

No login. Your score is saved only on this device.

AbstractionQuestion 1 of 6 · Score 0

What does a “no-code” AI tool let you do?

Choose one answer

All AI Applications with No-Code Tools questions with answers

Try each one first, then open it to check the answer and the reasoning.

Q1What does a “no-code” AI tool let you do?
  • Train an AI model by giving examples and clicking, without writing code
  • Use a computer without electricity
  • Write code faster by typing
  • Delete all data

Answer: A. Train an AI model by giving examples and clicking, without writing code

Hint: The name tells you what is missing.

  1. No-code tools hide the programming behind buttons.
  2. You upload or record examples and press train.
  3. Google Teachable Machine is one example.

Skill: Abstraction · Level: easy · Report an error

Q2In an image project, what must you give for each class (such as “apple” and “banana”)?
  • Many example images of that class
  • One word only
  • A song
  • Nothing; the tool guesses

Answer: A. Many example images of that class

Hint: A model learns from examples.

  1. Each class needs its own examples.
  2. Many, varied images help the model learn the pattern.
  3. Then you train and test.

Skill: Algorithmic thinking · Level: easy · Report an error

Q3Your model keeps confusing oranges with lemons. What is the best first fix?
  • Add more varied examples of both classes
  • Delete the orange class
  • Train for zero seconds
  • Rename the classes

Answer: A. Add more varied examples of both classes

Hint: The model has not seen enough difference between the two.

  1. Confusion means the model has not learned features that separate them.
  2. More varied examples (angles, lighting, sizes) help.
  3. Retrain and test again.

Skill: Pattern recognition · Level: medium · Report an error

Q4You test your model on 50 new images and it gets 45 right. What is its accuracy?
  • 45%
  • 50%
  • 90%
  • 95%

Answer: C. 90%

Hint: Accuracy = correct ÷ total × 100.

  1. Correct = 45, total = 50.
  2. 45 ÷ 50 = 0.9.
  3. 0.9 × 100 = 90%.

Skill: Decomposition · Level: easy · Report an error

Q5You trained a gesture model using only your webcam in your bedroom. It fails in the classroom. Why?
  • It learned from one background and lighting, so new surroundings confuse it
  • Classrooms block AI
  • The model forgot everything
  • Gestures cannot be learned

Answer: A. It learned from one background and lighting, so new surroundings confuse it

Hint: What else was in every training image besides your hand?

  1. Every example shared the same background and light.
  2. The model may have used those details as part of the pattern.
  3. Training with varied places and people makes it work more widely.

Skill: Pattern recognition · Level: challenge · Report an error

Q6You want to train a model with photos of your classmates. What should you do first?
  • Ask their permission and avoid sharing personal details
  • Upload photos secretly
  • Post the photos online
  • Use photos from social media without asking

Answer: A. Ask their permission and avoid sharing personal details

Hint: Think about privacy and consent.

  1. Photos of faces are personal data.
  2. People should agree before their photos are used.
  3. Keep the data private and delete it when the project ends.

Skill: Abstraction · Level: medium · Report an error

Frequently asked questions

What does the Class 8 AI Applications with No-Code Tools AI chapter cover?

The Class 8 AI Applications with No-Code Tools chapter has students build simple AI models without programming, using tools such as Google Teachable Machine: create classes, add examples, train, then test. Students learn why varied examples and fair testing make a better model.

Which computational thinking skills does AI Applications with No-Code Tools use?

AI Applications with No-Code Tools mainly practises algorithmic thinking, pattern recognition. It links to Part 2: Artificial Intelligence.

Where are the official CBSE AI Applications with No-Code Tools questions?

The official questions are in the CBSE Class 8 Computational Thinking and AI handbook for 2026-27, free on the CBSE Academic website. The practice on this page is original and mapped to the same chapter.

More Class 8 chapters