Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 698 · 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 — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
2. 2.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
3. 3.🎯 Ishaan’s handwriting reader was tested on 25 new handwritten letters and got 20 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
5. 5.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
6. 6.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
7. 7.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
10. 10.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
11. 11.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
12. 12.📦 Aarav collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
13. 13.🎯 Meera’s spam spotter was tested on 20 new messages and got 20 right. What is its accuracy in percent?
14. 14.📦 Diya collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
16. 16.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
17. 17.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
18. 18.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
20. 20.🎯 Aarav’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
21. 21.📋 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
22. 22.📦 Rohan collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
24. 24.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
25. 25.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
26. 26.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
27. 27.🎯 Ananya’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
28. 28.❌ Nisha’s fruit sorter was tested on 18 new fruit photos and got 15 right. How many did it get wrong?
29. 29.❌ Vihaan’s handwriting reader was tested on 31 new handwritten letters and got 28 right. How many did it get wrong?
30. 30.📋 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
31. 31.❌ Ananya’s recycling sorter was tested on 22 new waste photos and got 16 right. How many did it get wrong?
32. 32.🧪 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
33. 33.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
34. 34.🎯 Aarav’s recycling sorter is 90% accurate. If it is tested on 70 new waste photos, how many should it get right?
35. 35.📦 Meera collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Arjun’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
38. 38.🎯 Meera’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
39. 39.🎯 Diya’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
40. 40.❌ Meera’s fruit sorter was tested on 25 new fruit photos and got 24 right. How many did it get wrong?

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