Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 264 · 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.🧪 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
2. 2.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
4. 4.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 13 right and Model B got 12 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
6. 6.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
7. 7.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
8. 8.📋 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
9. 9.🎯 Kabir’s handwriting reader was tested on 20 new handwritten letters and got 15 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
11. 11.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
12. 12.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
13. 13.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
14. 14.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
15. 15.❌ Nisha’s recycling sorter was tested on 28 new waste photos and got 20 right. How many did it get wrong?
16. 16.🎯 Kabir’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?
17. 17.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 15 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
19. 19.📦 Tara collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
21. 21.📦 Tara collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 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
23. 23.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
24. 24.🎯 Diya’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
25. 25.🎯 Nisha’s recycling sorter is 90% accurate. If it is tested on 70 new waste photos, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
27. 27.📋 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
28. 28.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
29. 29.🎯 Ishaan’s recycling sorter was tested on 50 new waste photos and got 40 right. What is its accuracy in percent?
30. 30.🎯 Arjun’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
31. 31.❌ Arjun’s recycling sorter was tested on 45 new waste photos and got 37 right. How many did it get wrong?
32. 32.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
33. 33.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
34. 34.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
35. 35.❌ Nisha’s leaf identifier was tested on 21 new leaf photos and got 14 right. How many did it get wrong?
36. 36.🧪 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
37. 37.🎯 Nisha’s bird-song app was tested on 10 new bird songs and got 10 right. What is its accuracy in percent?
38. 38.📦 Kabir collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.❌ Rohan’s fruit sorter was tested on 25 new fruit photos and got 23 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos

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