Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 223 · 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.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
2. 2.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
3. 3.🎯 Arjun’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
5. 5.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
6. 6.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
7. 7.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 12 right. How many percentage points more accurate is Model A?
8. 8.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
9. 9.🎯 Nisha’s spam spotter was tested on 20 new messages and got 19 right. What is its accuracy in percent?
10. 10.📋 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
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
13. 13.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
14. 14.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
15. 15.🎯 Saanvi’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
17. 17.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
18. 18.❌ Saanvi’s bird-song app was tested on 33 new bird songs and got 24 right. How many did it get wrong?
19. 19.🎯 Tara’s fruit sorter is 60% accurate. If it is tested on 10 new fruit photos, how many should it get right?
20. 20.🧪 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
21. 21.❌ Aarav’s fruit sorter was tested on 27 new fruit photos and got 19 right. How many did it get wrong?
22. 22.🎯 Tara’s spam spotter is 90% accurate. If it is tested on 60 new messages, how many should it get right?
23. 23.📦 Diya collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.❌ Aarav’s spam spotter was tested on 40 new messages and got 36 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
26. 26.❌ Kabir’s bird-song app was tested on 16 new bird songs and got 13 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
28. 28.🎯 Tara’s leaf identifier is 80% accurate. If it is tested on 70 new leaf photos, how many should it get right?
29. 29.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
30. 30.❌ Nisha’s bird-song app was tested on 18 new bird songs and got 17 right. How many did it get wrong?
31. 31.📋 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
32. 32.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
33. 33.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
34. 34.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
36. 36.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
37. 37.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
38. 38.📦 Kabir collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
40. 40.❌ Arjun’s fruit sorter was tested on 33 new fruit photos and got 25 right. How many did it get wrong?

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