Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 461 · 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.📦 Aarav collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 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
3. 3.❌ Vihaan’s bird-song app was tested on 24 new bird songs and got 20 right. How many did it get wrong?
4. 4.🎯 Diya’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
5. 5.📦 Saanvi collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
7. 7.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
8. 8.🎯 Kabir’s fruit sorter is 60% accurate. If it is tested on 100 new fruit photos, how many should it get right?
9. 9.📦 Arjun collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.🎯 Aarav’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
11. 11.📦 Diya collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.📦 Nisha collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.❌ Kabir’s fruit sorter was tested on 27 new fruit photos and got 19 right. How many did it get wrong?
14. 14.❌ Arjun’s handwriting reader was tested on 27 new handwritten letters and got 23 right. How many did it get wrong?
15. 15.❌ Kabir’s recycling sorter was tested on 27 new waste photos and got 21 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
17. 17.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
18. 18.🎯 Tara’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
20. 20.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
21. 21.❌ Tara’s fruit sorter was tested on 39 new fruit photos and got 37 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
23. 23.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
24. 24.❌ Aarav’s fruit sorter was tested on 25 new fruit photos and got 16 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
26. 26.❌ Aarav’s leaf identifier was tested on 48 new leaf photos and got 44 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
28. 28.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
29. 29.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
30. 30.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
31. 31.🎯 Aarav’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — gather many examples or fix it and test again? (a) gather many examples (b) fix it and test again
33. 33.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
34. 34.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
35. 35.🎯 Nisha’s handwriting reader is 70% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
37. 37.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
39. 39.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 11 right. How many percentage points more accurate is Model A?
40. 40.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 45 right and Model B got 41 right. How many percentage points more accurate is Model A?

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