Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 13 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
2. 2.📋 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
3. 3.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 22 right and Model B got 20 right. How many percentage points more accurate is Model A?
4. 4.🧪 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
5. 5.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
6. 6.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
7. 7.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 48 right and Model B got 30 right. How many percentage points more accurate is Model A?
8. 8.📋 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
9. 9.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 13 right and Model B got 10 right. How many percentage points more accurate is Model A?
10. 10.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
11. 11.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
12. 12.❌ Meera’s bird-song app was tested on 34 new bird songs and got 26 right. How many did it get wrong?
13. 13.📦 Aarav collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
15. 15.📦 Meera collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Vihaan’s spam spotter was tested on 25 new messages and got 16 right. What is its accuracy in percent?
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
18. 18.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
19. 19.❌ Rohan’s spam spotter was tested on 19 new messages and got 16 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
21. 21.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
22. 22.🎯 Diya’s recycling sorter was tested on 20 new waste photos and got 12 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
24. 24.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
25. 25.🎯 Meera’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
27. 27.🎯 Diya’s recycling sorter is 70% accurate. If it is tested on 20 new waste photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
29. 29.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
30. 30.🎯 Arjun’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
31. 31.🎯 Aarav’s handwriting reader is 90% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
32. 32.❌ Ishaan’s bird-song app was tested on 28 new bird songs and got 23 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
34. 34.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
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.❌ Meera’s leaf identifier was tested on 31 new leaf photos and got 29 right. How many did it get wrong?
37. 37.🎯 Aarav’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
39. 39.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
40. 40.🎯 Diya’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?

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