Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 977 · 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 — train the model or recheck every label? (a) train the model (b) recheck every label
2. 2.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
3. 3.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
4. 4.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
5. 5.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
6. 6.❌ Kabir’s bird-song app was tested on 24 new bird songs and got 20 right. How many did it get wrong?
7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
8. 8.🧪 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
9. 9.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 47 right and Model B got 35 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
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 37 new waste photos and got 33 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
15. 15.📦 Vihaan collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
16. 16.📦 Kabir collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
17. 17.❌ Ananya’s fruit sorter was tested on 27 new fruit photos and got 18 right. How many did it get wrong?
18. 18.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
19. 19.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
21. 21.📋 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
22. 22.📦 Vihaan collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
24. 24.❌ Rohan’s leaf identifier was tested on 31 new leaf photos and got 23 right. How many did it get wrong?
25. 25.🎯 Arjun’s bird-song app is 60% accurate. If it is tested on 60 new bird songs, how many should it get right?
26. 26.🎯 Diya’s recycling sorter was tested on 25 new waste photos and got 15 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
28. 28.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
29. 29.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
30. 30.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
31. 31.📦 Diya collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
33. 33.🎯 Arjun’s handwriting reader was tested on 25 new handwritten letters and got 15 right. What is its accuracy in percent?
34. 34.🎯 Meera’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
36. 36.📋 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
37. 37.📦 Kabir collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
39. 39.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
40. 40.🎯 Meera’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?

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