Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 276 · 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 recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
2. 2.🎯 Nisha’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
3. 3.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
4. 4.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
5. 5.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
6. 6.🎯 Saanvi’s spam spotter was tested on 20 new messages and got 16 right. What is its accuracy in percent?
7. 7.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
8. 8.📋 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
9. 9.🎯 Meera’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
10. 10.📦 Diya collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.🎯 Ananya’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
12. 12.📋 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
13. 13.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
14. 14.🎯 Ishaan’s bird-song app is 50% accurate. If it is tested on 90 new bird songs, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
16. 16.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
17. 17.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
18. 18.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
19. 19.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
20. 20.🎯 Ishaan’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
21. 21.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
22. 22.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
23. 23.🎯 Kabir’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
24. 24.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 50 new leaf photos, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
26. 26.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
28. 28.📦 Rohan collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
30. 30.❌ Aarav’s spam spotter was tested on 18 new messages and got 12 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
32. 32.🎯 Rohan’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
34. 34.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
35. 35.❌ Tara’s handwriting reader was tested on 19 new handwritten letters and got 18 right. How many did it get wrong?
36. 36.❌ Kabir’s recycling sorter was tested on 22 new waste photos and got 13 right. How many did it get wrong?
37. 37.❌ Aarav’s bird-song app was tested on 49 new bird songs and got 43 right. How many did it get wrong?
38. 38.🧪 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
39. 39.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 40 new messages, how many should it get right?
40. 40.❌ Saanvi’s fruit sorter was tested on 42 new fruit photos and got 41 right. How many did it get wrong?

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