Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 394 · 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 faster (c) to make it bigger (d) to see if it learned
2. 2.❌ Nisha’s spam spotter was tested on 41 new messages and got 37 right. How many did it get wrong?
3. 3.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
4. 4.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
5. 5.🎯 Ishaan’s fruit sorter was tested on 25 new fruit photos and got 16 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
7. 7.🎯 Kabir’s fruit sorter was tested on 25 new fruit photos and got 15 right. What is its accuracy in percent?
8. 8.❌ Vihaan’s fruit sorter was tested on 22 new fruit photos and got 21 right. How many did it get wrong?
9. 9.📋 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
10. 10.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
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.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
13. 13.🎯 Tara’s handwriting reader was tested on 20 new handwritten letters and got 19 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
15. 15.🎯 Nisha’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
16. 16.🎯 Tara’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
17. 17.🎯 Vihaan’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
19. 19.🎯 Ishaan’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
20. 20.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
22. 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
23. 23.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
24. 24.📦 Aarav collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Nisha’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
26. 26.📦 Tara collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
27. 27.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 13 right and Model B got 11 right. How many percentage points more accurate is Model A?
28. 28.🎯 Rohan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
30. 30.📋 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
31. 31.📦 Kabir collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Ishaan’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
33. 33.📋 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
34. 34.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?
35. 35.🎯 Kabir’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
36. 36.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
37. 37.📋 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
38. 38.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again
39. 39.📋 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
40. 40.📦 Saanvi collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

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