Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 44 · 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.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
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.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 49 right and Model B got 45 right. How many percentage points more accurate is Model A?
4. 4.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
5. 5.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
6. 6.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 10 new waste photos, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
8. 8.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
9. 9.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
10. 10.🎯 Kabir’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
12. 12.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
13. 13.📋 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
14. 14.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
15. 15.🎯 Saanvi’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
17. 17.🎯 Aarav’s bird-song app is 60% accurate. If it is tested on 70 new bird songs, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
19. 19.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
20. 20.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
21. 21.🧪 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
22. 22.🎯 Nisha’s leaf identifier is 50% accurate. If it is tested on 50 new leaf photos, how many should it get right?
23. 23.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 22 right and Model B got 13 right. How many percentage points more accurate is Model A?
24. 24.❌ Ananya’s leaf identifier was tested on 12 new leaf photos and got 11 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
26. 26.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
27. 27.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
28. 28.📋 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
29. 29.📦 Rohan collected 80 labelled fruit photos for a fruit sorter 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 work out the accuracy? (a) improve data, retest (b) work out the accuracy
31. 31.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
32. 32.📦 Kabir collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.❌ Nisha’s leaf identifier was tested on 16 new leaf photos and got 14 right. How many did it get wrong?
34. 34.🎯 Nisha’s recycling sorter was tested on 50 new waste photos and got 28 right. What is its accuracy in percent?
35. 35.📦 Kabir collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
36. 36.📦 Nisha collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
39. 39.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
40. 40.📦 Ishaan collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

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