Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 992 · 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 — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
2. 2.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 28 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
4. 4.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
5. 5.📦 Meera collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 10 right. How many percentage points more accurate is Model A?
7. 7.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
9. 9.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
10. 10.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
11. 11.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
13. 13.🎯 Kabir’s handwriting reader was tested on 20 new handwritten letters and got 18 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
15. 15.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
16. 16.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
17. 17.❌ Ishaan’s bird-song app was tested on 40 new bird songs and got 35 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
19. 19.🎯 Arjun’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
20. 20.📦 Aarav collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
21. 21.❌ Aarav’s handwriting reader was tested on 29 new handwritten letters and got 25 right. How many did it get wrong?
22. 22.📦 Rohan collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
23. 23.🧪 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
24. 24.🎯 Ishaan’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
26. 26.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
27. 27.📦 Aarav collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.⚖️ 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?
29. 29.📦 Diya collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.❌ Aarav’s handwriting reader was tested on 24 new handwritten letters and got 15 right. How many did it get wrong?
31. 31.🎯 Ananya’s spam spotter is 70% accurate. If it is tested on 20 new messages, how many should it get right?
32. 32.🎯 Arjun’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
34. 34.❌ Ananya’s recycling sorter was tested on 21 new waste photos and got 18 right. How many did it get wrong?
35. 35.🎯 Nisha’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
36. 36.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
37. 37.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
38. 38.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
39. 39.🎯 Meera’s bird-song app was tested on 10 new bird songs and got 10 right. What is its accuracy in percent?
40. 40.❌ Arjun’s bird-song app was tested on 19 new bird songs and got 11 right. How many did it get wrong?

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