Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 463 · 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.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
3. 3.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
4. 4.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
5. 5.📋 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
6. 6.❌ Arjun’s recycling sorter was tested on 14 new waste photos and got 10 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
8. 8.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
9. 9.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
11. 11.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
12. 12.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
13. 13.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
14. 14.📦 Kabir collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
15. 15.🎯 Vihaan’s bird-song app is 60% accurate. If it is tested on 40 new bird songs, how many should it get right?
16. 16.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 29 right and Model B got 27 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
19. 19.🎯 Diya’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
21. 21.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
22. 22.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
23. 23.🎯 Vihaan’s handwriting reader is 70% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
24. 24.🎯 Aarav’s recycling sorter is 70% accurate. If it is tested on 40 new waste photos, how many should it get right?
25. 25.🎯 Rohan’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
27. 27.📦 Arjun collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
28. 28.❌ Aarav’s fruit sorter was tested on 28 new fruit photos and got 26 right. How many did it get wrong?
29. 29.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
31. 31.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
32. 32.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
33. 33.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
34. 34.🎯 Kabir’s recycling sorter is 90% accurate. If it is tested on 80 new waste photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
36. 36.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
37. 37.🎯 Saanvi’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
38. 38.📋 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
39. 39.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
40. 40.❌ Nisha’s recycling sorter was tested on 36 new waste photos and got 29 right. How many did it get wrong?

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