Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 467 · 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.🎯 Arjun’s bird-song app is 90% accurate. If it is tested on 60 new bird songs, how many should it get right?
2. 2.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
3. 3.❌ Arjun’s spam spotter was tested on 31 new messages and got 24 right. How many did it get wrong?
4. 4.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
5. 5.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
6. 6.📦 Meera collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
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.🎯 Nisha’s recycling sorter is 70% accurate. If it is tested on 50 new waste photos, how many should it get right?
9. 9.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
11. 11.🎯 Vihaan’s handwriting reader is 90% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
12. 12.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
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.❌ Arjun’s fruit sorter was tested on 26 new fruit photos and got 17 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
16. 16.🎯 Nisha’s recycling sorter is 70% accurate. If it is tested on 100 new waste photos, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
18. 18.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
19. 19.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 35 right and Model B got 33 right. How many percentage points more accurate is Model A?
20. 20.🎯 Nisha’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
22. 22.📋 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
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.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
25. 25.📦 Ishaan collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
26. 26.📦 Kabir collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
27. 27.📦 Aarav collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
29. 29.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
31. 31.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
33. 33.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
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.📦 Rohan collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
37. 37.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
38. 38.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
39. 39.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
40. 40.❌ Arjun’s leaf identifier was tested on 16 new leaf photos and got 10 right. How many did it get wrong?

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