Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 472 · 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 — choose what to sort or train the model? (a) choose what to sort (b) train the model
2. 2.🎯 Meera’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
4. 4.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
5. 5.❌ Aarav’s spam spotter was tested on 27 new messages and got 19 right. How many did it get wrong?
6. 6.❌ Aarav’s fruit sorter was tested on 17 new fruit photos and got 16 right. How many did it get wrong?
7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
8. 8.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
9. 9.🎯 Arjun’s leaf identifier is 70% accurate. If it is tested on 60 new leaf photos, how many should it get right?
10. 10.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
11. 11.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 16 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
13. 13.📦 Diya collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 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
15. 15.🎯 Ananya’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
17. 17.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
18. 18.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
20. 20.🎯 Ishaan’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
22. 22.📦 Arjun collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
24. 24.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
25. 25.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
26. 26.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
27. 27.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
28. 28.📦 Ishaan collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
29. 29.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
30. 30.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 15 right and Model B got 11 right. How many percentage points more accurate is Model A?
31. 31.📋 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
32. 32.🎯 Nisha’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
34. 34.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
36. 36.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
37. 37.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
38. 38.📦 Nisha collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
40. 40.🎯 Nisha’s spam spotter was tested on 25 new messages and got 24 right. What is its accuracy in percent?

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