Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 97 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
2. 2.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
3. 3.📦 Diya collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
4. 4.📋 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
5. 5.❌ Vihaan’s spam spotter was tested on 15 new messages and got 13 right. How many did it get wrong?
6. 6.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
7. 7.🧪 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
8. 8.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
9. 9.❌ Ishaan’s spam spotter was tested on 31 new messages and got 23 right. How many did it get wrong?
10. 10.📦 Diya collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.🎯 Rohan’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
13. 13.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
14. 14.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
15. 15.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 22 right and Model B got 20 right. How many percentage points more accurate is Model A?
16. 16.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
17. 17.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
19. 19.🎯 Rohan’s bird-song app was tested on 20 new bird songs and got 19 right. What is its accuracy in percent?
20. 20.📦 Diya collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
22. 22.🎯 Meera’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
23. 23.📦 Saanvi collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 43 right and Model B got 25 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
26. 26.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
27. 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
28. 28.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
29. 29.🎯 Diya’s leaf identifier is 90% accurate. If it is tested on 40 new leaf photos, how many should it get right?
30. 30.🎯 Tara’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
31. 31.❌ Diya’s fruit sorter was tested on 31 new fruit photos and got 23 right. How many did it get wrong?
32. 32.🎯 Aarav’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
33. 33.❌ Kabir’s spam spotter was tested on 31 new messages and got 27 right. How many did it get wrong?
34. 34.📦 Ishaan collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
36. 36.📦 Tara collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
38. 38.📋 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
39. 39.📦 Ishaan collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
40. 40.📦 Ishaan collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?

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