Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 931 · 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.📦 Arjun collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
3. 3.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
4. 4.❌ Rohan’s bird-song app was tested on 33 new bird songs and got 25 right. How many did it get wrong?
5. 5.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
7. 7.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 30 right and Model B got 26 right. How many percentage points more accurate is Model A?
8. 8.🎯 Ishaan’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
10. 10.📋 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
11. 11.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
13. 13.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
14. 14.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
15. 15.🎯 Nisha’s recycling sorter was tested on 25 new waste photos and got 17 right. What is its accuracy in percent?
16. 16.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 42 right and Model B got 39 right. How many percentage points more accurate is Model A?
17. 17.🎯 Ishaan’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
18. 18.❌ Ishaan’s leaf identifier was tested on 36 new leaf photos and got 30 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
20. 20.📋 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
21. 21.❌ Diya’s recycling sorter was tested on 18 new waste photos and got 17 right. How many did it get wrong?
22. 22.❌ Tara’s bird-song app was tested on 36 new bird songs and got 34 right. How many did it get wrong?
23. 23.❌ Ishaan’s fruit sorter was tested on 17 new fruit photos and got 12 right. How many did it get wrong?
24. 24.📋 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
25. 25.🎯 Rohan’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
26. 26.📋 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
27. 27.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
28. 28.📋 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
29. 29.🎯 Tara’s bird-song app was tested on 50 new bird songs and got 46 right. What is its accuracy in percent?
30. 30.📋 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
31. 31.📦 Arjun collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
33. 33.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
34. 34.🎯 Tara’s recycling sorter is 80% accurate. If it is tested on 20 new waste photos, how many should it get right?
35. 35.🎯 Saanvi’s fruit sorter was tested on 20 new fruit photos and got 17 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
37. 37.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
39. 39.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
40. 40.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 50 new handwritten letters, how many should it get right?

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