Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 900 · 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’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
2. 2.🎯 Vihaan’s bird-song app is 90% accurate. If it is tested on 80 new bird songs, how many should it get right?
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
4. 4.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 13 right. How many percentage points more accurate is Model A?
5. 5.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
6. 6.📋 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
7. 7.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
8. 8.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
9. 9.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
10. 10.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
11. 11.🎯 Ishaan’s fruit sorter was tested on 50 new fruit photos and got 46 right. What is its accuracy in percent?
12. 12.📋 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
13. 13.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
14. 14.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
15. 15.❌ Kabir’s fruit sorter was tested on 25 new fruit photos and got 23 right. How many did it get wrong?
16. 16.🎯 Kabir’s handwriting reader was tested on 50 new handwritten letters and got 48 right. What is its accuracy in percent?
17. 17.📦 Tara collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
18. 18.📦 Diya collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
20. 20.🎯 Arjun’s leaf identifier is 60% accurate. If it is tested on 90 new leaf photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
22. 22.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
23. 23.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
24. 24.❌ Aarav’s handwriting reader was tested on 41 new handwritten letters and got 32 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
26. 26.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
27. 27.📋 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
28. 28.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
29. 29.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
30. 30.🎯 Aarav’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
31. 31.🎯 Aarav’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
33. 33.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
34. 34.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
35. 35.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
36. 36.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
37. 37.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
38. 38.🎯 Vihaan’s leaf identifier was tested on 50 new leaf photos and got 27 right. What is its accuracy in percent?
39. 39.🎯 Nisha’s handwriting reader is 50% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
40. 40.🎯 Kabir’s leaf identifier is 90% accurate. If it is tested on 70 new leaf photos, how many should it get right?

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