Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 755 · 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 — label each example or split train and test? (a) label each example (b) split train and test
2. 2.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
3. 3.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
4. 4.📦 Ananya collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
6. 6.📋 Planning an AI project: which comes first — gather many examples or fix it and test again? (a) gather many examples (b) fix it and test again
7. 7.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
8. 8.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
9. 9.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
10. 10.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
11. 11.❌ Tara’s recycling sorter was tested on 50 new waste photos and got 48 right. How many did it get wrong?
12. 12.❌ Kabir’s leaf identifier was tested on 46 new leaf photos and got 39 right. How many did it get wrong?
13. 13.❌ Aarav’s bird-song app was tested on 22 new bird songs and got 15 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
15. 15.🧪 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
16. 16.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
17. 17.❌ Meera’s bird-song app was tested on 21 new bird songs and got 17 right. How many did it get wrong?
18. 18.❌ Diya’s bird-song app was tested on 25 new bird songs and got 19 right. How many did it get wrong?
19. 19.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
21. 21.🎯 Vihaan’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
22. 22.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
24. 24.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
25. 25.🎯 Nisha’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
27. 27.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
28. 28.🎯 Arjun’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
30. 30.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 24 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
32. 32.❌ Kabir’s leaf identifier was tested on 24 new leaf photos and got 22 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
34. 34.❌ Kabir’s handwriting reader was tested on 48 new handwritten letters and got 40 right. How many did it get wrong?
35. 35.📦 Saanvi collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.❌ Ishaan’s handwriting reader was tested on 21 new handwritten letters and got 15 right. How many did it get wrong?
37. 37.🎯 Meera’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
38. 38.🎯 Aarav’s bird-song app was tested on 20 new bird songs and got 11 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
40. 40.❌ Saanvi’s handwriting reader was tested on 17 new handwritten letters and got 15 right. How many did it get wrong?

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