Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 374 · 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.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
2. 2.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
3. 3.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
5. 5.📦 Ishaan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
7. 7.🎯 Ananya’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
8. 8.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
9. 9.📦 Aarav collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
11. 11.📦 Ananya collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
12. 12.📦 Vihaan collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
15. 15.📦 Nisha collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
17. 17.📦 Vihaan collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
18. 18.❌ Tara’s fruit sorter was tested on 28 new fruit photos and got 19 right. How many did it get wrong?
19. 19.🎯 Aarav’s recycling sorter is 70% accurate. If it is tested on 50 new waste photos, how many should it get right?
20. 20.❌ Aarav’s leaf identifier was tested on 25 new leaf photos and got 22 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
22. 22.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
23. 23.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
24. 24.🎯 Meera’s bird-song app was tested on 50 new bird songs and got 42 right. What is its accuracy in percent?
25. 25.❌ Meera’s bird-song app was tested on 21 new bird songs and got 16 right. How many did it get wrong?
26. 26.❌ Kabir’s recycling sorter was tested on 31 new waste photos and got 29 right. How many did it get wrong?
27. 27.❌ Kabir’s recycling sorter was tested on 44 new waste photos and got 36 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
29. 29.🎯 Ishaan’s recycling sorter was tested on 20 new waste photos and got 18 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
31. 31.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
32. 32.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
33. 33.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
34. 34.❌ Vihaan’s fruit sorter was tested on 32 new fruit photos and got 26 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
36. 36.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
37. 37.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
38. 38.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
39. 39.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
40. 40.🎯 Vihaan’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?

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