Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 323 · 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 handwriting reader was tested on 46 new handwritten letters and got 40 right. How many did it get wrong?
2. 2.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 45 right and Model B got 42 right. How many percentage points more accurate is Model A?
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
4. 4.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
6. 6.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
7. 7.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 60 new messages, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
9. 9.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
10. 10.📦 Diya collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
11. 11.🎯 Ishaan’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
12. 12.📦 Rohan collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
14. 14.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
15. 15.🎯 Vihaan’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
16. 16.🎯 Nisha’s spam spotter was tested on 25 new messages and got 18 right. What is its accuracy in percent?
17. 17.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 14 right and Model B got 10 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
19. 19.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
20. 20.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
21. 21.❌ Aarav’s fruit sorter was tested on 38 new fruit photos and got 37 right. How many did it get wrong?
22. 22.❌ Diya’s fruit sorter was tested on 43 new fruit photos and got 34 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
24. 24.📦 Nisha collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
26. 26.🎯 Kabir’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
28. 28.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
29. 29.🎯 Ishaan’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
30. 30.❌ Saanvi’s leaf identifier was tested on 38 new leaf photos and got 36 right. How many did it get wrong?
31. 31.❌ Tara’s handwriting reader was tested on 29 new handwritten letters and got 20 right. How many did it get wrong?
32. 32.📦 Kabir collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
33. 33.❌ Ananya’s recycling sorter was tested on 44 new waste photos and got 40 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
35. 35.📦 Nisha collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 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
37. 37.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
38. 38.🎯 Arjun’s recycling sorter is 70% accurate. If it is tested on 60 new waste photos, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
40. 40.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos

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