Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 482 · 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 recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
2. 2.📦 Aarav collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
4. 4.📦 Ananya collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
6. 6.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
7. 7.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
8. 8.🎯 Meera’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
9. 9.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
10. 10.📋 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
11. 11.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
12. 12.📦 Saanvi collected 140 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 — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
14. 14.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
15. 15.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
16. 16.📋 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
17. 17.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 10 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
19. 19.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
20. 20.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 37 right and Model B got 29 right. How many percentage points more accurate is Model A?
21. 21.🎯 Kabir’s recycling sorter was tested on 25 new waste photos and got 17 right. What is its accuracy in percent?
22. 22.🎯 Saanvi’s fruit sorter is 80% accurate. If it is tested on 90 new fruit photos, how many should it get right?
23. 23.❌ Diya’s fruit sorter was tested on 27 new fruit photos and got 19 right. How many did it get wrong?
24. 24.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
25. 25.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
26. 26.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
27. 27.❌ Nisha’s fruit sorter was tested on 17 new fruit photos and got 16 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
29. 29.📦 Kabir collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Vihaan’s recycling sorter is 90% accurate. If it is tested on 50 new waste photos, how many should it get right?
31. 31.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 15 right. What is its accuracy in percent?
32. 32.❌ Meera’s recycling sorter was tested on 22 new waste photos and got 16 right. How many did it get wrong?
33. 33.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
34. 34.📦 Diya collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
35. 35.📦 Diya collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.❌ Tara’s handwriting reader was tested on 41 new handwritten letters and got 33 right. How many did it get wrong?
37. 37.📦 Rohan collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
39. 39.🧪 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
40. 40.📦 Diya collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?

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