Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 349 · 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 recycling sorter models were tested on the same 25 waste photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
2. 2.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
3. 3.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
4. 4.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
5. 5.❌ Vihaan’s leaf identifier was tested on 28 new leaf photos and got 23 right. How many did it get wrong?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
7. 7.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
8. 8.🎯 Kabir’s leaf identifier is 60% accurate. If it is tested on 30 new leaf photos, how many should it get right?
9. 9.🎯 Saanvi’s fruit sorter was tested on 50 new fruit photos and got 32 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
11. 11.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
12. 12.🎯 Diya’s handwriting reader was tested on 50 new handwritten letters and got 35 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
14. 14.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
15. 15.🎯 Nisha’s spam spotter was tested on 25 new messages and got 14 right. What is its accuracy in percent?
16. 16.🎯 Nisha’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
18. 18.🎯 Diya’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?
19. 19.📦 Nisha collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
21. 21.🎯 Aarav’s spam spotter was tested on 20 new messages and got 16 right. What is its accuracy in percent?
22. 22.🎯 Nisha’s bird-song app was tested on 50 new bird songs and got 48 right. What is its accuracy in percent?
23. 23.🎯 Meera’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
25. 25.🎯 Meera’s fruit sorter was tested on 50 new fruit photos and got 26 right. What is its accuracy in percent?
26. 26.📦 Ishaan collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Ishaan’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
28. 28.🎯 Ananya’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
29. 29.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
30. 30.❌ Meera’s fruit sorter was tested on 28 new fruit photos and got 20 right. How many did it get wrong?
31. 31.❌ Meera’s bird-song app was tested on 28 new bird songs and got 22 right. How many did it get wrong?
32. 32.❌ Aarav’s recycling sorter was tested on 30 new waste photos and got 29 right. How many did it get wrong?
33. 33.❌ Nisha’s leaf identifier was tested on 19 new leaf photos and got 13 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
35. 35.📋 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
36. 36.🎯 Nisha’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
38. 38.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
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.❌ Ananya’s bird-song app was tested on 47 new bird songs and got 39 right. How many did it get wrong?

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