Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 664 · 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) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
2. 2.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
3. 3.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
4. 4.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
5. 5.❌ Kabir’s leaf identifier was tested on 26 new leaf photos and got 24 right. How many did it get wrong?
6. 6.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
7. 7.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
8. 8.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
9. 9.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
10. 10.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
11. 11.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 8 right. What is its accuracy in percent?
12. 12.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
13. 13.🎯 Kabir’s leaf identifier was tested on 25 new leaf photos and got 13 right. What is its accuracy in percent?
14. 14.📋 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
15. 15.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
16. 16.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
17. 17.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
18. 18.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
19. 19.🎯 Meera’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
20. 20.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
21. 21.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
22. 22.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
23. 23.❌ Ananya’s fruit sorter was tested on 25 new fruit photos and got 19 right. How many did it get wrong?
24. 24.❌ Aarav’s handwriting reader was tested on 32 new handwritten letters and got 23 right. How many did it get wrong?
25. 25.🎯 Rohan’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
27. 27.🎯 Kabir’s handwriting reader is 90% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
28. 28.🎯 Diya’s spam spotter was tested on 20 new messages and got 19 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
30. 30.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
31. 31.📋 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
32. 32.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
33. 33.🎯 Vihaan’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
34. 34.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
35. 35.🎯 Rohan’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
36. 36.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 14 right. How many percentage points more accurate is Model A?
37. 37.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
38. 38.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 22 right and Model B got 19 right. How many percentage points more accurate is Model A?
39. 39.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
40. 40.❌ Vihaan’s recycling sorter was tested on 14 new waste photos and got 13 right. How many did it get wrong?

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