Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 252 · 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.🎯 Nisha’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
2. 2.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
4. 4.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
5. 5.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
6. 6.❌ Diya’s bird-song app was tested on 45 new bird songs and got 43 right. How many did it get wrong?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
8. 8.🎯 Diya’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
10. 10.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
11. 11.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
12. 12.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
13. 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
14. 14.📦 Meera collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
16. 16.🎯 Diya’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples
18. 18.📦 Kabir collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
20. 20.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
22. 22.📋 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
23. 23.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
24. 24.🎯 Kabir’s spam spotter was tested on 25 new messages and got 17 right. What is its accuracy in percent?
25. 25.📋 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
26. 26.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
27. 27.❌ Diya’s recycling sorter was tested on 47 new waste photos and got 46 right. How many did it get wrong?
28. 28.🎯 Ananya’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
29. 29.🎯 Ishaan’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
31. 31.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
32. 32.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
33. 33.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
34. 34.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
35. 35.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
36. 36.📦 Nisha collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
38. 38.📦 Ishaan collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Saanvi’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
40. 40.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 47 right. How many percentage points more accurate is Model A?

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