Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 776 · 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 leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
2. 2.❌ Nisha’s handwriting reader was tested on 25 new handwritten letters and got 19 right. How many did it get wrong?
3. 3.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
4. 4.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
6. 6.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 21 right and Model B got 16 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
8. 8.❌ Ishaan’s bird-song app was tested on 17 new bird songs and got 10 right. How many did it get wrong?
9. 9.🎯 Kabir’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
11. 11.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
12. 12.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
13. 13.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
15. 15.🎯 Arjun’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
16. 16.📦 Diya collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
17. 17.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
18. 18.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
19. 19.🎯 Ananya’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
20. 20.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
21. 21.🎯 Rohan’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
22. 22.❌ Rohan’s recycling sorter was tested on 20 new waste photos and got 17 right. How many did it get wrong?
23. 23.🎯 Arjun’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
24. 24.🎯 Aarav’s recycling sorter was tested on 20 new waste photos and got 14 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
26. 26.❌ Vihaan’s handwriting reader was tested on 17 new handwritten letters and got 11 right. How many did it get wrong?
27. 27.📦 Saanvi collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
29. 29.❌ Vihaan’s recycling sorter was tested on 34 new waste photos and got 27 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
31. 31.⚖️ 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?
32. 32.🎯 Arjun’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
34. 34.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
35. 35.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
36. 36.❌ Tara’s leaf identifier was tested on 46 new leaf photos and got 38 right. How many did it get wrong?
37. 37.🎯 Meera’s spam spotter is 80% accurate. If it is tested on 30 new messages, how many should it get right?
38. 38.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
39. 39.📦 Saanvi collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.📦 Rohan collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?

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