Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 314 · 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 — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
2. 2.🎯 Vihaan’s fruit sorter was tested on 20 new fruit photos and got 17 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
5. 5.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
6. 6.🎯 Kabir’s leaf identifier was tested on 25 new leaf photos and got 13 right. What is its accuracy in percent?
7. 7.🎯 Ananya’s bird-song app is 50% accurate. If it is tested on 40 new bird songs, how many should it get right?
8. 8.❌ Nisha’s leaf identifier was tested on 28 new leaf photos and got 19 right. How many did it get wrong?
9. 9.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
10. 10.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
11. 11.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
12. 12.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
13. 13.🎯 Nisha’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
14. 14.📦 Ananya collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.📦 Kabir collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
16. 16.❌ Aarav’s fruit sorter was tested on 49 new fruit photos and got 44 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
18. 18.📋 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
19. 19.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
20. 20.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
21. 21.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
22. 22.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
23. 23.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
24. 24.❌ Meera’s handwriting reader was tested on 43 new handwritten letters and got 36 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
26. 26.🧪 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
27. 27.📋 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
28. 28.📦 Nisha collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
29. 29.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
31. 31.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
32. 32.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
34. 34.📦 Meera collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
35. 35.🎯 Diya’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
36. 36.📦 Saanvi collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
38. 38.📦 Ananya collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Arjun’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
40. 40.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100

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