Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 556 · 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 handwriting reader models were tested on the same 10 handwritten letters. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
2. 2.🎯 Ananya’s spam spotter is 70% accurate. If it is tested on 50 new messages, how many should it get right?
3. 3.🎯 Diya’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
4. 4.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 11 right. How many percentage points more accurate is Model A?
5. 5.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
7. 7.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 70 new messages, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
9. 9.📋 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
10. 10.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
11. 11.📦 Rohan collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
13. 13.❌ Saanvi’s leaf identifier was tested on 26 new leaf photos and got 25 right. How many did it get wrong?
14. 14.🎯 Kabir’s handwriting reader was tested on 50 new handwritten letters and got 33 right. What is its accuracy in percent?
15. 15.📦 Arjun collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Tara’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
17. 17.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
18. 18.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 48 right. How many percentage points more accurate is Model A?
19. 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
20. 20.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
21. 21.❌ Ananya’s leaf identifier was tested on 14 new leaf photos and got 12 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
23. 23.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
24. 24.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
25. 25.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
26. 26.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
27. 27.🎯 Ananya’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
28. 28.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
29. 29.📦 Arjun collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.❌ Aarav’s leaf identifier was tested on 19 new leaf photos and got 12 right. How many did it get wrong?
31. 31.🎯 Tara’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
32. 32.🎯 Diya’s spam spotter is 70% accurate. If it is tested on 70 new messages, how many should it get right?
33. 33.❌ Kabir’s leaf identifier was tested on 45 new leaf photos and got 39 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
35. 35.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
36. 36.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
37. 37.📦 Arjun collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
38. 38.🎯 Ananya’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
39. 39.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right

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