Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 961 · 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’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
2. 2.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
3. 3.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
4. 4.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
5. 5.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
7. 7.📦 Ishaan collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
9. 9.📋 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
10. 10.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
11. 11.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
12. 12.📦 Arjun collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.🎯 Tara’s bird-song app was tested on 10 new bird songs and got 8 right. What is its accuracy in percent?
14. 14.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 18 right. How many percentage points more accurate is Model A?
15. 15.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 22 right and Model B got 17 right. How many percentage points more accurate is Model A?
16. 16.🎯 Saanvi’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
17. 17.🎯 Rohan’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
19. 19.🎯 Aarav’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
20. 20.🎯 Ishaan’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
22. 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
23. 23.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
24. 24.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
25. 25.🎯 Aarav’s recycling sorter is 50% accurate. If it is tested on 80 new waste photos, how many should it get right?
26. 26.📋 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
27. 27.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
28. 28.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
29. 29.🎯 Nisha’s leaf identifier is 70% accurate. If it is tested on 60 new leaf photos, how many should it get right?
30. 30.❌ Aarav’s bird-song app was tested on 45 new bird songs and got 43 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
32. 32.🎯 Ishaan’s spam spotter was tested on 25 new messages and got 17 right. What is its accuracy in percent?
33. 33.📦 Ananya collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
35. 35.🎯 Vihaan’s spam spotter was tested on 25 new messages and got 16 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
37. 37.❌ Arjun’s spam spotter was tested on 43 new messages and got 41 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
39. 39.🎯 Diya’s bird-song app is 70% accurate. If it is tested on 90 new bird songs, how many should it get right?
40. 40.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?

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