Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 71 · 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.🎯 Vihaan’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
2. 2.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
3. 3.🧪 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
4. 4.📋 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
5. 5.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
7. 7.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
8. 8.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
9. 9.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
10. 10.🎯 Aarav’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
11. 11.🎯 Aarav’s recycling sorter was tested on 25 new waste photos and got 16 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
13. 13.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?
14. 14.📋 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
15. 15.🎯 Meera’s spam spotter was tested on 50 new messages and got 34 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
17. 17.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
18. 18.🎯 Meera’s bird-song app is 60% accurate. If it is tested on 70 new bird songs, how many should it get right?
19. 19.🎯 Vihaan’s handwriting reader is 60% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
20. 20.📋 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
21. 21.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
22. 22.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
23. 23.🎯 Rohan’s bird-song app is 50% accurate. If it is tested on 60 new bird songs, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
25. 25.❌ Kabir’s spam spotter was tested on 13 new messages and got 11 right. How many did it get wrong?
26. 26.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 40 new waste photos, how many should it get right?
27. 27.❌ Arjun’s recycling sorter was tested on 30 new waste photos and got 26 right. How many did it get wrong?
28. 28.❌ Meera’s bird-song app was tested on 19 new bird songs and got 18 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
30. 30.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
31. 31.📋 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
32. 32.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
33. 33.❌ Aarav’s recycling sorter was tested on 45 new waste photos and got 38 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
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.📦 Rohan collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Nisha’s leaf identifier was tested on 25 new leaf photos and got 23 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
39. 39.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
40. 40.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 10 right. How many percentage points more accurate is Model A?

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