Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 868 · 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.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
2. 2.🎯 Arjun’s spam spotter is 70% accurate. If it is tested on 100 new messages, how many should it get right?
3. 3.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
6. 6.🎯 Rohan’s bird-song app was tested on 20 new bird songs and got 15 right. What is its accuracy in percent?
7. 7.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 40 right and Model B got 39 right. How many percentage points more accurate is Model A?
8. 8.🎯 Ananya’s spam spotter was tested on 25 new messages and got 17 right. What is its accuracy in percent?
9. 9.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
10. 10.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 49 right. What is its accuracy in percent?
11. 11.📦 Vihaan collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
12. 12.📦 Tara collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
13. 13.🎯 Ananya’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
14. 14.📦 Aarav collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.📦 Diya collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
17. 17.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
18. 18.❌ Tara’s spam spotter was tested on 27 new messages and got 21 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
20. 20.❌ Diya’s fruit sorter was tested on 31 new fruit photos and got 23 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
22. 22.🎯 Tara’s fruit sorter is 70% accurate. If it is tested on 80 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 47 right and Model B got 45 right. How many percentage points more accurate is Model A?
24. 24.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
25. 25.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
26. 26.🎯 Vihaan’s fruit sorter was tested on 25 new fruit photos and got 18 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
28. 28.🎯 Rohan’s bird-song app is 60% accurate. If it is tested on 100 new bird songs, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
30. 30.🎯 Ananya’s fruit sorter was tested on 20 new fruit photos and got 12 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
32. 32.❌ Ananya’s spam spotter was tested on 14 new messages and got 13 right. How many did it get wrong?
33. 33.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
34. 34.📦 Ishaan collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 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
36. 36.🎯 Aarav’s bird-song app is 60% accurate. If it is tested on 10 new bird songs, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
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.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
40. 40.🎯 Ishaan’s bird-song app was tested on 50 new bird songs and got 34 right. What is its accuracy in percent?

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