Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 704 · 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 recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
3. 3.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
5. 5.❌ Nisha’s leaf identifier was tested on 22 new leaf photos and got 18 right. How many did it get wrong?
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
7. 7.🎯 Ananya’s spam spotter is 90% accurate. If it is tested on 70 new messages, how many should it get right?
8. 8.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 37 right and Model B got 25 right. How many percentage points more accurate is Model A?
9. 9.❌ Kabir’s recycling sorter was tested on 24 new waste photos and got 23 right. How many did it get wrong?
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
11. 11.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
12. 12.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
13. 13.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 23 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
15. 15.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
16. 16.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
17. 17.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
18. 18.📦 Ananya collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Ananya’s bird-song app was tested on 10 new bird songs and got 9 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
21. 21.📦 Rohan collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
23. 23.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
24. 24.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
25. 25.❌ Kabir’s leaf identifier was tested on 19 new leaf photos and got 12 right. How many did it get wrong?
26. 26.🎯 Diya’s fruit sorter was tested on 20 new fruit photos and got 15 right. What is its accuracy in percent?
27. 27.🎯 Rohan’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
28. 28.📦 Aarav collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
29. 29.❌ Tara’s handwriting reader was tested on 20 new handwritten letters and got 12 right. How many did it get wrong?
30. 30.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 41 right and Model B got 36 right. How many percentage points more accurate is Model A?
31. 31.🎯 Rohan’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
32. 32.🎯 Ananya’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
34. 34.❌ Meera’s bird-song app was tested on 20 new bird songs and got 17 right. How many did it get wrong?
35. 35.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
36. 36.🎯 Ishaan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
38. 38.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
39. 39.🎯 Nisha’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
40. 40.🎯 Diya’s spam spotter was tested on 50 new messages and got 35 right. What is its accuracy in percent?

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