Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 615 · 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’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
2. 2.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
3. 3.🎯 Aarav’s leaf identifier was tested on 20 new leaf photos and got 20 right. What is its accuracy in percent?
4. 4.📋 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
5. 5.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
7. 7.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
8. 8.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
9. 9.🎯 Aarav’s leaf identifier was tested on 25 new leaf photos and got 19 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
11. 11.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
12. 12.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
14. 14.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
15. 15.📦 Ishaan collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Rohan’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
18. 18.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
19. 19.🎯 Ishaan’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
21. 21.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
23. 23.❌ Saanvi’s handwriting reader was tested on 31 new handwritten letters and got 22 right. How many did it get wrong?
24. 24.📦 Vihaan collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
26. 26.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
28. 28.📦 Nisha collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
30. 30.🎯 Aarav’s recycling sorter was tested on 20 new waste photos and got 10 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
32. 32.🎯 Ananya’s spam spotter was tested on 50 new messages and got 49 right. What is its accuracy in percent?
33. 33.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
34. 34.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
35. 35.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
36. 36.📋 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
37. 37.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
38. 38.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
39. 39.📦 Aarav collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Meera’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?

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