Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 284 · 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.📦 Diya collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 22 right and Model B got 21 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
4. 4.❌ Meera’s handwriting reader was tested on 27 new handwritten letters and got 19 right. How many did it get wrong?
5. 5.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
6. 6.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
7. 7.🎯 Saanvi’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
8. 8.📦 Vihaan collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 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
10. 10.📦 Aarav collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
12. 12.📦 Saanvi collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
14. 14.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
15. 15.❌ Diya’s spam spotter was tested on 45 new messages and got 40 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
17. 17.📦 Ananya collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
19. 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
20. 20.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
21. 21.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
22. 22.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
23. 23.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
24. 24.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
26. 26.🎯 Vihaan’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
27. 27.🎯 Meera’s recycling sorter was tested on 25 new waste photos and got 22 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
29. 29.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
30. 30.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
31. 31.🎯 Tara’s recycling sorter was tested on 20 new waste photos and got 16 right. What is its accuracy in percent?
32. 32.❌ Diya’s leaf identifier was tested on 44 new leaf photos and got 41 right. How many did it get wrong?
33. 33.🎯 Meera’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
35. 35.🎯 Ananya’s fruit sorter was tested on 50 new fruit photos and got 26 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
37. 37.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
39. 39.⚖️ 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?
40. 40.🎯 Ananya’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?

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