Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 4 · 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.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
2. 2.❌ Ishaan’s spam spotter was tested on 15 new messages and got 11 right. How many did it get wrong?
3. 3.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
4. 4.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
6. 6.❌ Vihaan’s handwriting reader was tested on 40 new handwritten letters and got 32 right. How many did it get wrong?
7. 7.📦 Saanvi collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
8. 8.❌ Diya’s handwriting reader was tested on 36 new handwritten letters and got 30 right. How many did it get wrong?
9. 9.📦 Nisha collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
11. 11.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
12. 12.📋 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
13. 13.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
14. 14.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
15. 15.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
16. 16.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 20 new waste photos, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
18. 18.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
19. 19.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
20. 20.🎯 Vihaan’s spam spotter is 70% accurate. If it is tested on 80 new messages, how many should it get right?
21. 21.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
22. 22.🎯 Meera’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
24. 24.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
25. 25.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
26. 26.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
27. 27.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
29. 29.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
30. 30.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
31. 31.❌ Aarav’s bird-song app was tested on 24 new bird songs and got 19 right. How many did it get wrong?
32. 32.🎯 Ishaan’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
33. 33.🎯 Vihaan’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
34. 34.🎯 Nisha’s bird-song app is 70% accurate. If it is tested on 80 new bird songs, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
36. 36.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 30 new messages, how many should it get right?
37. 37.📋 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
38. 38.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
39. 39.📦 Kabir collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Vihaan’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?

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