Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 875 · 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.📦 Nisha 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.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 37 right. What is its accuracy in percent?
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
4. 4.📋 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
5. 5.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
6. 6.❌ Saanvi’s leaf identifier was tested on 44 new leaf photos and got 35 right. How many did it get wrong?
7. 7.❌ Ishaan’s leaf identifier was tested on 31 new leaf photos and got 30 right. How many did it get wrong?
8. 8.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
9. 9.🎯 Ananya’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
11. 11.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
12. 12.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
13. 13.📦 Vihaan collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.❌ Meera’s handwriting reader was tested on 36 new handwritten letters and got 34 right. How many did it get wrong?
15. 15.❌ Saanvi’s bird-song app was tested on 33 new bird songs and got 32 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
17. 17.📦 Meera collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.❌ Aarav’s fruit sorter was tested on 33 new fruit photos and got 29 right. How many did it get wrong?
19. 19.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 90 new fruit photos, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
21. 21.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
22. 22.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
23. 23.📦 Ananya collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Rohan’s bird-song app was tested on 25 new bird songs and got 15 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
26. 26.🎯 Meera’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
28. 28.❌ Rohan’s bird-song app was tested on 41 new bird songs and got 39 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
30. 30.🎯 Tara’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
31. 31.🎯 Aarav’s recycling sorter is 60% accurate. If it is tested on 50 new waste photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
33. 33.📦 Diya collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
34. 34.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
35. 35.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
37. 37.🎯 Nisha’s fruit sorter was tested on 25 new fruit photos and got 14 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
39. 39.📋 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
40. 40.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?

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