Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 748 · 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 — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
2. 2.📋 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
3. 3.❌ Diya’s spam spotter was tested on 40 new messages and got 33 right. How many did it get wrong?
4. 4.🎯 Diya’s bird-song app is 70% accurate. If it is tested on 60 new bird songs, how many should it get right?
5. 5.❌ Vihaan’s spam spotter was tested on 24 new messages and got 15 right. How many did it get wrong?
6. 6.❌ Tara’s spam spotter was tested on 21 new messages and got 12 right. How many did it get wrong?
7. 7.🎯 Tara’s recycling sorter is 70% accurate. If it is tested on 20 new waste photos, how many should it get right?
8. 8.📦 Aarav collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
11. 11.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 40 right and Model B got 28 right. How many percentage points more accurate is Model A?
12. 12.📦 Nisha collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
13. 13.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
14. 14.⚖️ 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?
15. 15.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
16. 16.❌ Aarav’s leaf identifier was tested on 17 new leaf photos and got 11 right. How many did it get wrong?
17. 17.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
18. 18.🧪 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
19. 19.📦 Kabir collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.❌ Saanvi’s recycling sorter was tested on 15 new waste photos and got 10 right. How many did it get wrong?
21. 21.📦 Diya collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
22. 22.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
23. 23.📦 Ishaan collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
25. 25.📦 Ananya collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.❌ Tara’s bird-song app was tested on 23 new bird songs and got 14 right. How many did it get wrong?
27. 27.🎯 Meera’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
28. 28.📦 Saanvi collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
29. 29.❌ Ishaan’s bird-song app was tested on 29 new bird songs and got 24 right. How many did it get wrong?
30. 30.🎯 Ananya’s spam spotter is 70% accurate. If it is tested on 40 new messages, how many should it get right?
31. 31.📋 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
32. 32.🎯 Nisha’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
34. 34.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 46 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
36. 36.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
37. 37.❌ Aarav’s recycling sorter was tested on 13 new waste photos and got 12 right. How many did it get wrong?
38. 38.📦 Nisha collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
40. 40.📦 Diya collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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