Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 981 · 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.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
3. 3.📦 Ishaan collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
4. 4.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
5. 5.🧪 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 bigger (d) to make it faster
6. 6.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
7. 7.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 18 right. What is its accuracy in percent?
8. 8.📦 Kabir collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 20 right. How many percentage points more accurate is Model A?
10. 10.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 50 new waste photos, how many should it get right?
11. 11.❌ Ishaan’s fruit sorter was tested on 42 new fruit photos and got 36 right. How many did it get wrong?
12. 12.📦 Ananya collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
14. 14.📦 Meera collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.🎯 Tara’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
16. 16.🎯 Vihaan’s recycling sorter was tested on 25 new waste photos and got 13 right. What is its accuracy in percent?
17. 17.🎯 Kabir’s recycling sorter was tested on 20 new waste photos and got 13 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
19. 19.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 10 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
21. 21.🎯 Tara’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
22. 22.🎯 Ishaan’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
23. 23.📋 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
24. 24.🎯 Ishaan’s spam spotter was tested on 20 new messages and got 12 right. What is its accuracy in percent?
25. 25.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
26. 26.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
27. 27.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
28. 28.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
29. 29.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
30. 30.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
31. 31.🎯 Ishaan’s handwriting reader is 50% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
32. 32.🎯 Rohan’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
34. 34.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
35. 35.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 21 right and Model B got 20 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
37. 37.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 19 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
39. 39.❌ Ishaan’s spam spotter was tested on 37 new messages and got 28 right. How many did it get wrong?
40. 40.📦 Kabir collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

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