Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 610 · 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.🎯 Kabir’s recycling sorter was tested on 20 new waste photos and got 20 right. What is its accuracy in percent?
2. 2.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
3. 3.📦 Kabir collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
4. 4.❌ Kabir’s leaf identifier was tested on 25 new leaf photos and got 24 right. How many did it get wrong?
5. 5.📋 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
6. 6.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
7. 7.🎯 Vihaan’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
8. 8.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
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 — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
13. 13.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
14. 14.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
15. 15.❌ Diya’s leaf identifier was tested on 23 new leaf photos and got 22 right. How many did it get wrong?
16. 16.🎯 Meera’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
18. 18.❌ Meera’s leaf identifier was tested on 15 new leaf photos and got 13 right. How many did it get wrong?
19. 19.📦 Ananya collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
21. 21.❌ Arjun’s recycling sorter was tested on 50 new waste photos and got 45 right. How many did it get wrong?
22. 22.📦 Tara collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 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
24. 24.🎯 Nisha’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
26. 26.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
27. 27.🎯 Aarav’s bird-song app was tested on 50 new bird songs and got 49 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
30. 30.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
31. 31.📋 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
32. 32.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
33. 33.❌ Diya’s fruit sorter was tested on 42 new fruit photos and got 41 right. How many did it get wrong?
34. 34.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
35. 35.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
36. 36.📦 Vihaan collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Rohan’s bird-song app was tested on 25 new bird songs and got 13 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
39. 39.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
40. 40.📦 Kabir collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?

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