Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 136 · 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.📦 Kabir collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
3. 3.📋 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
4. 4.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
5. 5.📋 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
6. 6.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
7. 7.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
8. 8.🎯 Nisha’s bird-song app is 60% accurate. If it is tested on 80 new bird songs, how many should it get right?
9. 9.📦 Diya collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
10. 10.🎯 Meera’s bird-song app was tested on 50 new bird songs and got 29 right. What is its accuracy in percent?
11. 11.❌ Rohan’s bird-song app was tested on 34 new bird songs and got 30 right. How many did it get wrong?
12. 12.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
13. 13.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
15. 15.🎯 Vihaan’s leaf identifier was tested on 50 new leaf photos and got 49 right. What is its accuracy in percent?
16. 16.❌ Tara’s leaf identifier was tested on 19 new leaf photos and got 10 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
18. 18.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
19. 19.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 15 right and Model B got 10 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
21. 21.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
22. 22.🎯 Ishaan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
23. 23.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
24. 24.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
25. 25.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
26. 26.📋 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
27. 27.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 50 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
29. 29.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
30. 30.🎯 Meera’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
31. 31.📦 Rohan collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 10 right. How many percentage points more accurate is Model A?
33. 33.❌ Diya’s spam spotter was tested on 38 new messages and got 34 right. How many did it get wrong?
34. 34.🎯 Aarav’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
35. 35.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 40 new messages, how many should it get right?
36. 36.📦 Rohan collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 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
38. 38.🎯 Vihaan’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
39. 39.🎯 Tara’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
40. 40.🎯 Ananya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?

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