Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 915 · 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.❌ Aarav’s recycling sorter was tested on 40 new waste photos and got 39 right. How many did it get wrong?
2. 2.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
4. 4.❌ Aarav’s handwriting reader was tested on 17 new handwritten letters and got 15 right. How many did it get wrong?
5. 5.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
6. 6.❌ Rohan’s handwriting reader was tested on 25 new handwritten letters and got 24 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
8. 8.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
9. 9.🎯 Meera’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
10. 10.📦 Aarav collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.❌ Tara’s spam spotter was tested on 12 new messages and got 11 right. How many did it get wrong?
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
13. 13.❌ Kabir’s bird-song app was tested on 50 new bird songs and got 41 right. How many did it get wrong?
14. 14.❌ Diya’s fruit sorter was tested on 34 new fruit photos and got 29 right. How many did it get wrong?
15. 15.📦 Meera collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
17. 17.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
18. 18.🎯 Ishaan’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
19. 19.❌ Ananya’s spam spotter was tested on 21 new messages and got 18 right. How many did it get wrong?
20. 20.🎯 Vihaan’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
21. 21.🎯 Rohan’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
22. 22.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
23. 23.📦 Kabir collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
24. 24.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
26. 26.🎯 Nisha’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
28. 28.📦 Nisha collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
29. 29.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 60 new messages, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
31. 31.❌ Aarav’s handwriting reader was tested on 29 new handwritten letters and got 20 right. How many did it get wrong?
32. 32.📦 Kabir collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
34. 34.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
35. 35.📋 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
36. 36.📋 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
37. 37.❌ Tara’s bird-song app was tested on 21 new bird songs and got 19 right. How many did it get wrong?
38. 38.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
39. 39.📦 Diya collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
40. 40.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?

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