Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 910 · 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 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
2. 2.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
3. 3.🎯 Aarav’s bird-song app is 80% accurate. If it is tested on 30 new bird songs, how many should it get right?
4. 4.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
5. 5.📦 Aarav collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
7. 7.🧪 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
8. 8.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
9. 9.📦 Aarav collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
10. 10.🎯 Vihaan’s bird-song app is 90% accurate. If it is tested on 100 new bird songs, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
12. 12.❌ Ananya’s spam spotter was tested on 33 new messages and got 28 right. How many did it get wrong?
13. 13.🎯 Nisha’s recycling sorter was tested on 25 new waste photos and got 25 right. What is its accuracy in percent?
14. 14.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
15. 15.🎯 Tara’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
17. 17.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
19. 19.🎯 Rohan’s recycling sorter is 70% accurate. If it is tested on 50 new waste photos, how many should it get right?
20. 20.❌ Vihaan’s spam spotter was tested on 20 new messages and got 14 right. How many did it get wrong?
21. 21.❌ Nisha’s spam spotter was tested on 19 new messages and got 15 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
23. 23.🎯 Meera’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
24. 24.📦 Vihaan collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
26. 26.📦 Kabir collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Saanvi’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
29. 29.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
30. 30.🎯 Meera’s bird-song app is 80% accurate. If it is tested on 100 new bird songs, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
32. 32.🎯 Meera’s bird-song app is 50% accurate. If it is tested on 20 new bird songs, how many should it get right?
33. 33.🎯 Diya’s fruit sorter was tested on 50 new fruit photos and got 44 right. What is its accuracy in percent?
34. 34.🎯 Ishaan’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
36. 36.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 80 new messages, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
38. 38.❌ Diya’s leaf identifier was tested on 28 new leaf photos and got 24 right. How many did it get wrong?
39. 39.📦 Nisha collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.📦 Ishaan collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

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