Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 669 · 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 — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
2. 2.🎯 Aarav’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
4. 4.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
5. 5.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
6. 6.📦 Tara collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
8. 8.🎯 Ishaan’s spam spotter was tested on 20 new messages and got 19 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
10. 10.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
11. 11.📦 Vihaan collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Nisha’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
13. 13.📦 Tara collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Arjun’s handwriting reader was tested on 25 new handwritten letters and got 16 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
16. 16.❌ Nisha’s spam spotter was tested on 47 new messages and got 39 right. How many did it get wrong?
17. 17.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
18. 18.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
20. 20.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
21. 21.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
22. 22.❌ Meera’s handwriting reader was tested on 25 new handwritten letters and got 22 right. How many did it get wrong?
23. 23.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
24. 24.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 18 right. How many percentage points more accurate is Model A?
25. 25.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
26. 26.🎯 Tara’s spam spotter was tested on 50 new messages and got 27 right. What is its accuracy in percent?
27. 27.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 14 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — pick a question to solve or work out the accuracy? (a) pick a question to solve (b) work out the accuracy
29. 29.🎯 Arjun’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
31. 31.❌ Aarav’s handwriting reader was tested on 45 new handwritten letters and got 44 right. How many did it get wrong?
32. 32.🎯 Nisha’s fruit sorter was tested on 10 new fruit photos and got 8 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
34. 34.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
35. 35.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
36. 36.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
37. 37.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
38. 38.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — fix it and test again or choose what to sort? (a) fix it and test again (b) choose what to sort
40. 40.📋 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

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