Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 46 · 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.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
2. 2.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
3. 3.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
4. 4.🎯 Vihaan’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
5. 5.🎯 Diya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
6. 6.📦 Ishaan collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
7. 7.❌ Meera’s fruit sorter was tested on 31 new fruit photos and got 28 right. How many did it get wrong?
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.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
10. 10.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
11. 11.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
13. 13.🎯 Rohan’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
14. 14.📦 Kabir collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.🎯 Meera’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
17. 17.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
18. 18.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
19. 19.🎯 Arjun’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
20. 20.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
22. 22.📦 Nisha collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
23. 23.🎯 Ishaan’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
25. 25.📦 Ananya collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
27. 27.🎯 Saanvi’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
28. 28.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
29. 29.🧪 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
30. 30.📦 Ananya collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Meera’s fruit sorter is 60% accurate. If it is tested on 40 new fruit photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
33. 33.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
34. 34.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 8 right. What is its accuracy in percent?
35. 35.📦 Kabir collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
36. 36.📦 Arjun collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
38. 38.🎯 Ishaan’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
40. 40.🎯 Diya’s leaf identifier is 60% accurate. If it is tested on 80 new leaf photos, how many should it get right?

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