Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 807 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
2. 2.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
4. 4.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
5. 5.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
6. 6.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
7. 7.📋 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
8. 8.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
9. 9.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples
10. 10.🎯 Ishaan’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
12. 12.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
13. 13.🎯 Arjun’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
14. 14.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
16. 16.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
17. 17.🎯 Saanvi’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
19. 19.🎯 Meera’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
20. 20.🎯 Meera’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
21. 21.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
22. 22.❌ Kabir’s spam spotter was tested on 16 new messages and got 15 right. How many did it get wrong?
23. 23.🎯 Meera’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
24. 24.📦 Nisha collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Kabir’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
26. 26.🎯 Meera’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
28. 28.🎯 Ananya’s leaf identifier is 90% accurate. If it is tested on 60 new leaf photos, how many should it get right?
29. 29.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
30. 30.🎯 Meera’s bird-song app is 90% accurate. If it is tested on 60 new bird songs, how many should it get right?
31. 31.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
32. 32.🎯 Ananya’s handwriting reader was tested on 20 new handwritten letters and got 12 right. What is its accuracy in percent?
33. 33.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 22 right and Model B got 19 right. How many percentage points more accurate is Model A?
34. 34.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
35. 35.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
36. 36.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
37. 37.🎯 Arjun’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
39. 39.❌ Aarav’s leaf identifier was tested on 33 new leaf photos and got 25 right. How many did it get wrong?
40. 40.🎯 Ishaan’s recycling sorter was tested on 20 new waste photos and got 16 right. What is its accuracy in percent?

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