[ 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.
[ 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.
- No-code tools hide the programming behind buttons.
- You upload or record examples and press train.
- 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.
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.
What does a “no-code” AI tool let you do?
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.
- No-code tools hide the programming behind buttons.
- You upload or record examples and press train.
- 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.
- Each class needs its own examples.
- Many, varied images help the model learn the pattern.
- 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.
- Confusion means the model has not learned features that separate them.
- More varied examples (angles, lighting, sizes) help.
- 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.
- Correct = 45, total = 50.
- 45 ÷ 50 = 0.9.
- 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?
- Every example shared the same background and light.
- The model may have used those details as part of the pattern.
- 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.
- Photos of faces are personal data.
- People should agree before their photos are used.
- 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.