Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 871 · 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 — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
3. 3.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
4. 4.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
5. 5.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
6. 6.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
8. 8.❌ Meera’s fruit sorter was tested on 27 new fruit photos and got 26 right. How many did it get wrong?
9. 9.📋 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
10. 10.📦 Ananya collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
12. 12.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
13. 13.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
14. 14.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
15. 15.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 22 right. How many percentage points more accurate is Model A?
16. 16.❌ Kabir’s bird-song app was tested on 41 new bird songs and got 36 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
18. 18.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 22 right. How many percentage points more accurate is Model A?
19. 19.🎯 Ananya’s recycling sorter is 80% accurate. If it is tested on 60 new waste photos, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
21. 21.🎯 Vihaan’s spam spotter was tested on 20 new messages and got 13 right. What is its accuracy in percent?
22. 22.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
24. 24.🎯 Nisha’s recycling sorter was tested on 50 new waste photos and got 37 right. What is its accuracy in percent?
25. 25.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 42 right and Model B got 36 right. How many percentage points more accurate is Model A?
26. 26.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
27. 27.📋 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
28. 28.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
29. 29.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
30. 30.📦 Aarav collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
32. 32.🎯 Saanvi’s handwriting reader is 70% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
34. 34.❌ Kabir’s spam spotter was tested on 32 new messages and got 27 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
36. 36.🎯 Saanvi’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
37. 37.📦 Ananya collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
39. 39.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
40. 40.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?

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