Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 709 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
2. 2.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
3. 3.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 48 right and Model B got 26 right. How many percentage points more accurate is Model A?
4. 4.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 36 right and Model B got 33 right. How many percentage points more accurate is Model A?
5. 5.🧪 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
6. 6.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
7. 7.🎯 Aarav’s bird-song app was tested on 20 new bird songs and got 12 right. What is its accuracy in percent?
8. 8.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
10. 10.🎯 Nisha’s bird-song app is 50% accurate. If it is tested on 20 new bird songs, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
12. 12.📦 Nisha collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
13. 13.📦 Kabir collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.❌ Aarav’s handwriting reader was tested on 50 new handwritten letters and got 47 right. How many did it get wrong?
15. 15.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 14 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
17. 17.🎯 Ishaan’s handwriting reader is 60% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
19. 19.🎯 Meera’s bird-song app is 90% accurate. If it is tested on 40 new bird songs, how many should it get right?
20. 20.🎯 Ishaan’s recycling sorter is 80% accurate. If it is tested on 40 new waste photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
22. 22.❌ Aarav’s fruit sorter was tested on 36 new fruit photos and got 30 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
24. 24.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
25. 25.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
26. 26.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
27. 27.📦 Diya collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
29. 29.🎯 Meera’s recycling sorter was tested on 25 new waste photos and got 21 right. What is its accuracy in percent?
30. 30.🎯 Meera’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
32. 32.📦 Nisha collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Vihaan’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
35. 35.❌ Diya’s recycling sorter was tested on 13 new waste photos and got 10 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
37. 37.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
38. 38.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
39. 39.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 44 right and Model B got 31 right. How many percentage points more accurate is Model A?
40. 40.❌ Diya’s fruit sorter was tested on 48 new fruit photos and got 43 right. How many did it get wrong?

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