Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 970 · 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.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
2. 2.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
3. 3.📦 Vihaan collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
4. 4.🎯 Nisha’s recycling sorter is 70% accurate. If it is tested on 80 new waste photos, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
6. 6.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
7. 7.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
8. 8.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
9. 9.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
10. 10.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
11. 11.🎯 Kabir’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
13. 13.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
14. 14.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
15. 15.❌ Rohan’s spam spotter was tested on 18 new messages and got 11 right. How many did it get wrong?
16. 16.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
17. 17.🎯 Diya’s handwriting reader is 80% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
19. 19.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
20. 20.🎯 Arjun’s spam spotter is 80% accurate. If it is tested on 20 new messages, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
22. 22.📋 Planning an AI project: which comes first — fix it and test again or choose what to sort? (a) fix it and test again (b) choose what to sort
23. 23.📦 Diya collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.📦 Saanvi collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Rohan’s bird-song app is 80% accurate. If it is tested on 100 new bird songs, how many should it get right?
26. 26.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
27. 27.❌ Vihaan’s spam spotter was tested on 32 new messages and got 24 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
29. 29.❌ Arjun’s leaf identifier was tested on 19 new leaf photos and got 18 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
31. 31.🎯 Ananya’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
33. 33.🎯 Aarav’s fruit sorter is 60% accurate. If it is tested on 100 new fruit photos, how many should it get right?
34. 34.🎯 Kabir’s leaf identifier is 60% accurate. If it is tested on 70 new leaf photos, how many should it get right?
35. 35.📦 Arjun collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 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
37. 37.🎯 Kabir’s spam spotter was tested on 20 new messages and got 12 right. What is its accuracy in percent?
38. 38.📦 Arjun collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
40. 40.📦 Kabir collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?

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