Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 354 · 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.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
2. 2.📋 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
3. 3.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
4. 4.⚖️ Two bird-song app models were tested on the same 20 bird songs. 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) nothing at all (c) only a big robot (d) a secret password
6. 6.🎯 Saanvi’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
8. 8.🎯 Aarav’s recycling sorter is 80% accurate. If it is tested on 50 new waste photos, how many should it get right?
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
10. 10.📋 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
11. 11.📋 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
12. 12.❌ Ishaan’s bird-song app was tested on 44 new bird songs and got 39 right. How many did it get wrong?
13. 13.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
14. 14.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
15. 15.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
16. 16.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
17. 17.🎯 Diya’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
18. 18.❌ Aarav’s leaf identifier was tested on 49 new leaf photos and got 46 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
20. 20.📦 Aarav collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
21. 21.❌ Rohan’s recycling sorter was tested on 39 new waste photos and got 38 right. How many did it get wrong?
22. 22.🎯 Tara’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
23. 23.📋 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
24. 24.❌ Vihaan’s fruit sorter was tested on 45 new fruit photos and got 39 right. How many did it get wrong?
25. 25.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
26. 26.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
28. 28.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
29. 29.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
30. 30.🎯 Aarav’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
31. 31.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 50 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
33. 33.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
34. 34.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
35. 35.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
37. 37.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
38. 38.🎯 Ishaan’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
39. 39.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
40. 40.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 30 new waste photos, how many should it get right?

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