Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 239 · 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.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
2. 2.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
3. 3.🎯 Rohan’s handwriting reader is 70% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
4. 4.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
5. 5.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 10 right. How many percentage points more accurate is Model A?
6. 6.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
9. 9.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 18 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
11. 11.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
12. 12.🎯 Aarav’s fruit sorter is 60% accurate. If it is tested on 10 new fruit photos, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
14. 14.❌ Ishaan’s fruit sorter was tested on 40 new fruit photos and got 35 right. How many did it get wrong?
15. 15.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
16. 16.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
17. 17.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
18. 18.🎯 Arjun’s handwriting reader was tested on 20 new handwritten letters and got 19 right. What is its accuracy in percent?
19. 19.📦 Rohan collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 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
21. 21.📋 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
22. 22.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
23. 23.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
24. 24.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
25. 25.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
26. 26.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 21 right. How many percentage points more accurate is Model A?
27. 27.📦 Nisha collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 13 right. How many percentage points more accurate is Model A?
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
30. 30.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
31. 31.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 33 right and Model B got 32 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
33. 33.📦 Diya collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Arjun’s recycling sorter was tested on 20 new waste photos and got 12 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
36. 36.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
37. 37.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
38. 38.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
39. 39.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
40. 40.🎯 Nisha’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?

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