Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 681 · 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.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
2. 2.📋 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
3. 3.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
5. 5.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
6. 6.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
7. 7.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
8. 8.🎯 Vihaan’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
9. 9.🧪 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
10. 10.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 90 new fruit photos, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
12. 12.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
13. 13.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
14. 14.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
15. 15.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
16. 16.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
17. 17.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 38 right and Model B got 28 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
20. 20.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
21. 21.🎯 Ishaan’s leaf identifier was tested on 50 new leaf photos and got 36 right. What is its accuracy in percent?
22. 22.❌ Diya’s spam spotter was tested on 44 new messages and got 41 right. How many did it get wrong?
23. 23.📦 Ishaan collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
25. 25.📋 Planning an AI project: which comes first — gather many examples or fix it and test again? (a) gather many examples (b) fix it and test again
26. 26.🎯 Vihaan’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
27. 27.🎯 Tara’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
28. 28.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 33 right and Model B got 32 right. How many percentage points more accurate is Model A?
29. 29.🎯 Tara’s recycling sorter is 90% accurate. If it is tested on 50 new waste photos, how many should it get right?
30. 30.📦 Arjun collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Arjun’s spam spotter is 90% accurate. If it is tested on 70 new messages, how many should it get right?
32. 32.🎯 Nisha’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
33. 33.📋 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
34. 34.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
35. 35.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
36. 36.🎯 Diya’s leaf identifier is 60% accurate. If it is tested on 70 new leaf photos, how many should it get right?
37. 37.🎯 Tara’s recycling sorter is 90% accurate. If it is tested on 100 new waste photos, how many should it get right?
38. 38.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 44 right and Model B got 29 right. How many percentage points more accurate is Model A?
39. 39.📦 Ananya collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Saanvi’s bird-song app was tested on 25 new bird songs and got 23 right. What is its accuracy in percent?

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