Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 498 · 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 see if it learned (c) to make it bigger (d) to make it faster
2. 2.❌ Rohan’s fruit sorter was tested on 25 new fruit photos and got 17 right. How many did it get wrong?
3. 3.📦 Tara collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
4. 4.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
5. 5.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
6. 6.🧪 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
7. 7.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
8. 8.🎯 Diya’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
9. 9.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
10. 10.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
11. 11.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
12. 12.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
13. 13.🎯 Meera’s recycling sorter was tested on 20 new waste photos and got 14 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
15. 15.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
16. 16.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
17. 17.🎯 Kabir’s spam spotter was tested on 20 new messages and got 13 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
19. 19.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
20. 20.🎯 Diya’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
21. 21.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 40 new waste photos, how many should it get right?
22. 22.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
23. 23.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 38 right and Model B got 25 right. How many percentage points more accurate is Model A?
24. 24.📋 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
25. 25.❌ Rohan’s fruit sorter was tested on 39 new fruit photos and got 35 right. How many did it get wrong?
26. 26.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
27. 27.🎯 Arjun’s handwriting reader is 80% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
29. 29.🎯 Arjun’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
30. 30.❌ Diya’s handwriting reader was tested on 46 new handwritten letters and got 38 right. How many did it get wrong?
31. 31.📦 Kabir collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.📦 Arjun collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.📦 Meera collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Saanvi’s fruit sorter was tested on 25 new fruit photos and got 15 right. What is its accuracy in percent?
35. 35.🎯 Nisha’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
36. 36.📦 Rohan collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — fix it and test again or choose what to sort? (a) fix it and test again (b) choose what to sort
38. 38.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples

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