Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 559 · 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 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.🎯 Ishaan’s leaf identifier was tested on 20 new leaf photos and got 15 right. What is its accuracy in percent?
3. 3.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
4. 4.❌ Saanvi’s spam spotter was tested on 24 new messages and got 17 right. How many did it get wrong?
5. 5.🎯 Arjun’s leaf identifier was tested on 10 new leaf photos and got 8 right. What is its accuracy in percent?
6. 6.📦 Diya collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
7. 7.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
8. 8.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
10. 10.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
11. 11.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
12. 12.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
13. 13.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
14. 14.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
15. 15.❌ Rohan’s bird-song app was tested on 49 new bird songs and got 40 right. How many did it get wrong?
16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
17. 17.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 22 right. What is its accuracy in percent?
18. 18.🎯 Saanvi’s handwriting reader is 70% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
19. 19.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
20. 20.❌ Meera’s leaf identifier was tested on 16 new leaf photos and got 10 right. How many did it get wrong?
21. 21.📦 Rohan collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
22. 22.📦 Aarav collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
23. 23.📦 Diya collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 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
25. 25.📋 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
26. 26.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
27. 27.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 20 right. How many percentage points more accurate is Model A?
28. 28.🎯 Nisha’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
30. 30.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
31. 31.🎯 Nisha’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
32. 32.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 10 right. How many percentage points more accurate is Model A?
33. 33.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 18 right. What is its accuracy in percent?
34. 34.❌ Saanvi’s recycling sorter was tested on 41 new waste photos and got 33 right. How many did it get wrong?
35. 35.📋 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
36. 36.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
37. 37.❌ Nisha’s handwriting reader was tested on 26 new handwritten letters and got 23 right. How many did it get wrong?
38. 38.🎯 Vihaan’s recycling sorter was tested on 10 new waste photos and got 8 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
40. 40.🎯 Tara’s handwriting reader is 80% accurate. If it is tested on 80 new handwritten letters, how many should it get right?

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