Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 934 · 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.📦 Saanvi collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.📦 Ishaan collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.📦 Diya collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
4. 4.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
5. 5.🎯 Nisha’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?
6. 6.❌ Saanvi’s fruit sorter was tested on 28 new fruit photos and got 27 right. How many did it get wrong?
7. 7.🎯 Aarav’s bird-song app is 90% accurate. If it is tested on 60 new bird songs, how many should it get right?
8. 8.📦 Saanvi collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
10. 10.📋 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
11. 11.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 16 right. What is its accuracy in percent?
12. 12.🎯 Saanvi’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
13. 13.📦 Aarav collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
15. 15.❌ Arjun’s spam spotter was tested on 41 new messages and got 40 right. How many did it get wrong?
16. 16.🎯 Kabir’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
17. 17.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
18. 18.📋 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
19. 19.🎯 Meera’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
20. 20.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 70 new messages, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
22. 22.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
23. 23.📦 Ishaan collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
25. 25.🎯 Meera’s handwriting reader is 70% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
26. 26.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
27. 27.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
28. 28.🎯 Aarav’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
30. 30.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
31. 31.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
32. 32.📦 Nisha collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
34. 34.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
35. 35.🧪 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
36. 36.📦 Arjun collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 13 right. What is its accuracy in percent?
38. 38.🧪 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
39. 39.❌ Diya’s leaf identifier was tested on 28 new leaf photos and got 19 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label

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