Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 182 · 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’s leaf identifier was tested on 37 new leaf photos and got 29 right. How many did it get wrong?
2. 2.❌ Arjun’s recycling sorter was tested on 37 new waste photos and got 28 right. How many did it get wrong?
3. 3.🎯 Rohan’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
4. 4.📦 Meera collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
5. 5.📦 Kabir collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
7. 7.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 100 new messages, how many should it get right?
8. 8.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
9. 9.🎯 Aarav’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
11. 11.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
12. 12.🧪 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
13. 13.📦 Aarav collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 21 right. What is its accuracy in percent?
15. 15.📦 Arjun collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Ishaan’s leaf identifier was tested on 25 new leaf photos and got 22 right. What is its accuracy in percent?
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
18. 18.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
19. 19.🎯 Arjun’s recycling sorter was tested on 25 new waste photos and got 16 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
21. 21.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
22. 22.🎯 Ananya’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
23. 23.🎯 Rohan’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
24. 24.❌ Ananya’s recycling sorter was tested on 19 new waste photos and got 13 right. How many did it get wrong?
25. 25.📦 Diya collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.🎯 Aarav’s bird-song app is 90% accurate. If it is tested on 80 new bird songs, how many should it get right?
27. 27.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
28. 28.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
29. 29.📦 Kabir collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 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
31. 31.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 22 right and Model B got 14 right. How many percentage points more accurate is Model A?
32. 32.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 32 right. How many percentage points more accurate is Model A?
33. 33.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
34. 34.❌ Rohan’s spam spotter was tested on 25 new messages and got 18 right. How many did it get wrong?
35. 35.❌ Diya’s leaf identifier was tested on 14 new leaf photos and got 13 right. How many did it get wrong?
36. 36.🎯 Saanvi’s handwriting reader is 80% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
37. 37.📋 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
38. 38.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
39. 39.❌ Nisha’s bird-song app was tested on 25 new bird songs and got 19 right. How many did it get wrong?
40. 40.🎯 Ishaan’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?

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