Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 320 · 40 questions

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

1. 1.📦 Ishaan collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
3. 3.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
4. 4.📦 Nisha collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
5. 5.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
6. 6.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
7. 7.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
8. 8.🎯 Ishaan’s leaf identifier was tested on 25 new leaf photos and got 19 right. What is its accuracy in percent?
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
10. 10.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
11. 11.❌ Rohan’s spam spotter was tested on 31 new messages and got 24 right. How many did it get wrong?
12. 12.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 10 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
14. 14.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
15. 15.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
16. 16.📦 Arjun collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Diya’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
19. 19.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
20. 20.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 32 right. What is its accuracy in percent?
21. 21.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 20 new waste photos, how many should it get right?
22. 22.🎯 Tara’s handwriting reader was tested on 20 new handwritten letters and got 10 right. What is its accuracy in percent?
23. 23.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
24. 24.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
25. 25.❌ Rohan’s leaf identifier was tested on 42 new leaf photos and got 38 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
27. 27.📦 Nisha collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
29. 29.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
30. 30.🎯 Diya’s leaf identifier is 70% accurate. If it is tested on 50 new leaf photos, how many should it get right?
31. 31.🎯 Saanvi’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
32. 32.❌ Ananya’s spam spotter was tested on 17 new messages and got 13 right. How many did it get wrong?
33. 33.🎯 Aarav’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
35. 35.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
36. 36.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
37. 37.🎯 Arjun’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
38. 38.🎯 Ananya’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
40. 40.📦 Ananya collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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