Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 172 · 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 — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
2. 2.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
4. 4.📋 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
5. 5.❌ Arjun’s spam spotter was tested on 35 new messages and got 32 right. How many did it get wrong?
6. 6.📦 Meera collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
8. 8.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
9. 9.🎯 Tara’s fruit sorter is 60% accurate. If it is tested on 50 new fruit photos, how many should it get right?
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
11. 11.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
13. 13.🎯 Arjun’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
15. 15.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
16. 16.🎯 Ananya’s bird-song app was tested on 10 new bird songs and got 8 right. What is its accuracy in percent?
17. 17.📦 Kabir collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
18. 18.🎯 Ishaan’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
19. 19.❌ Aarav’s bird-song app was tested on 19 new bird songs and got 13 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
21. 21.❌ Ishaan’s handwriting reader was tested on 29 new handwritten letters and got 22 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
23. 23.📦 Ishaan collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
25. 25.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
26. 26.❌ Kabir’s recycling sorter was tested on 23 new waste photos and got 14 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
28. 28.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
29. 29.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
30. 30.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
31. 31.🎯 Tara’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
33. 33.📦 Nisha collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Kabir’s spam spotter was tested on 20 new messages and got 15 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
36. 36.📋 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
37. 37.🎯 Ananya’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
39. 39.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest

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