Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 272 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
2. 2.❌ Vihaan’s recycling sorter was tested on 44 new waste photos and got 35 right. How many did it get wrong?
3. 3.📋 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
4. 4.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
5. 5.📦 Ishaan collected 110 labelled waste photos for a recycling 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 11 right. How many percentage points more accurate is Model A?
7. 7.📋 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
8. 8.❌ Kabir’s bird-song app was tested on 19 new bird songs and got 11 right. How many did it get wrong?
9. 9.🎯 Rohan’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
11. 11.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
12. 12.❌ Diya’s bird-song app was tested on 40 new bird songs and got 38 right. How many did it get wrong?
13. 13.🎯 Ishaan’s recycling sorter is 60% accurate. If it is tested on 70 new waste photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
15. 15.📋 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
16. 16.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
17. 17.❌ Saanvi’s spam spotter was tested on 25 new messages and got 17 right. How many did it get wrong?
18. 18.🎯 Kabir’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
20. 20.🧪 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
21. 21.🎯 Diya’s bird-song app is 90% accurate. If it is tested on 50 new bird songs, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
23. 23.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
24. 24.❌ Nisha’s leaf identifier was tested on 44 new leaf photos and got 38 right. How many did it get wrong?
25. 25.🎯 Diya’s handwriting reader was tested on 50 new handwritten letters and got 30 right. What is its accuracy in percent?
26. 26.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
28. 28.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
29. 29.📦 Ishaan collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
31. 31.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
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.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
34. 34.📦 Meera collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
35. 35.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
36. 36.🎯 Tara’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?
37. 37.🎯 Ananya’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
38. 38.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
39. 39.❌ Ishaan’s spam spotter was tested on 27 new messages and got 24 right. How many did it get wrong?
40. 40.❌ Rohan’s fruit sorter was tested on 14 new fruit photos and got 13 right. How many did it get wrong?

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