Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 533 · 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.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
2. 2.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
3. 3.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
4. 4.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
5. 5.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
6. 6.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
7. 7.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
8. 8.❌ Rohan’s leaf identifier was tested on 31 new leaf photos and got 26 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
12. 12.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
13. 13.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 70 new fruit photos, how many should it get right?
14. 14.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
15. 15.📦 Kabir collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
17. 17.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
18. 18.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
19. 19.🎯 Nisha’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
20. 20.🎯 Aarav’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
21. 21.🎯 Tara’s recycling sorter is 70% accurate. If it is tested on 40 new waste photos, how many should it get right?
22. 22.🎯 Ishaan’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
23. 23.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 40 right and Model B got 32 right. How many percentage points more accurate is Model A?
24. 24.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
25. 25.📦 Rohan collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
26. 26.❌ Aarav’s handwriting reader was tested on 46 new handwritten letters and got 45 right. How many did it get wrong?
27. 27.🎯 Rohan’s spam spotter is 60% accurate. If it is tested on 20 new messages, how many should it get right?
28. 28.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
29. 29.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
30. 30.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
31. 31.❌ Aarav’s fruit sorter was tested on 36 new fruit photos and got 29 right. How many did it get wrong?
32. 32.🎯 Ananya’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
33. 33.🎯 Vihaan’s leaf identifier is 70% accurate. If it is tested on 50 new leaf photos, how many should it get right?
34. 34.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
35. 35.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
37. 37.❌ Aarav’s spam spotter was tested on 17 new messages and got 16 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
39. 39.📦 Nisha collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy

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