Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 411 · 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.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 35 right and Model B got 26 right. How many percentage points more accurate is Model A?
2. 2.🧪 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
3. 3.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
4. 4.🎯 Nisha’s recycling sorter was tested on 20 new waste photos and got 19 right. What is its accuracy in percent?
5. 5.📦 Aarav collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
7. 7.📦 Vihaan collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Ishaan’s recycling sorter is 60% accurate. If it is tested on 80 new waste photos, how many should it get right?
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
10. 10.🎯 Arjun’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
12. 12.📋 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
13. 13.📋 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
14. 14.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
16. 16.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
17. 17.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 100 new messages, how many should it get right?
18. 18.📦 Aarav collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 100 new waste photos, how many should it get right?
20. 20.❌ Rohan’s leaf identifier was tested on 24 new leaf photos and got 23 right. How many did it get wrong?
21. 21.❌ Meera’s spam spotter was tested on 50 new messages and got 42 right. How many did it get wrong?
22. 22.📋 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
23. 23.❌ Ananya’s leaf identifier was tested on 34 new leaf photos and got 32 right. How many did it get wrong?
24. 24.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
25. 25.❌ Ananya’s leaf identifier was tested on 29 new leaf photos and got 23 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
27. 27.📦 Rohan collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Tara’s handwriting reader is 50% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
30. 30.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
31. 31.🎯 Meera’s fruit sorter is 90% accurate. If it is tested on 100 new fruit photos, how many should it get right?
32. 32.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
33. 33.🎯 Ananya’s spam spotter was tested on 50 new messages and got 31 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
35. 35.🎯 Diya’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
36. 36.🎯 Diya’s fruit sorter was tested on 50 new fruit photos and got 40 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
38. 38.📋 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
39. 39.📦 Nisha collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test

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