Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 206 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
3. 3.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
4. 4.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
5. 5.🎯 Kabir’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
7. 7.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
8. 8.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
10. 10.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
11. 11.🎯 Ananya’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
12. 12.📦 Aarav collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 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
14. 14.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
15. 15.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
16. 16.🎯 Vihaan’s recycling sorter is 80% accurate. If it is tested on 50 new waste photos, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
19. 19.🎯 Ananya’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
20. 20.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
21. 21.📦 Meera collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
23. 23.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
24. 24.📦 Nisha collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 48 right and Model B got 46 right. How many percentage points more accurate is Model A?
26. 26.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
27. 27.❌ Ananya’s recycling sorter was tested on 42 new waste photos and got 35 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
29. 29.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
30. 30.🎯 Saanvi’s spam spotter was tested on 25 new messages and got 17 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
32. 32.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
33. 33.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 20 new messages, how many should it get right?
34. 34.🎯 Nisha’s leaf identifier is 70% accurate. If it is tested on 50 new leaf photos, how many should it get right?
35. 35.🎯 Nisha’s bird-song app was tested on 20 new bird songs and got 10 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
37. 37.🎯 Saanvi’s spam spotter is 60% accurate. If it is tested on 90 new messages, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
39. 39.🎯 Diya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
40. 40.📦 Diya collected 140 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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