Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 633 · 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.❌ Arjun’s leaf identifier was tested on 30 new leaf photos and got 23 right. How many did it get wrong?
2. 2.❌ Nisha’s recycling sorter was tested on 19 new waste photos and got 10 right. How many did it get wrong?
3. 3.❌ Saanvi’s fruit sorter was tested on 40 new fruit photos and got 31 right. How many did it get wrong?
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
5. 5.📦 Kabir collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
7. 7.🎯 Ishaan’s fruit sorter was tested on 50 new fruit photos and got 47 right. What is its accuracy in percent?
8. 8.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
9. 9.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
10. 10.❌ Nisha’s fruit sorter was tested on 36 new fruit photos and got 31 right. How many did it get wrong?
11. 11.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
12. 12.🎯 Ishaan’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
14. 14.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
15. 15.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
16. 16.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
18. 18.🎯 Arjun’s handwriting reader was tested on 25 new handwritten letters and got 24 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
20. 20.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 22 right and Model B got 17 right. How many percentage points more accurate is Model A?
21. 21.🎯 Rohan’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
22. 22.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
23. 23.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
24. 24.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
25. 25.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
26. 26.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
27. 27.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 70 new fruit photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
29. 29.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
31. 31.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
32. 32.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 41 right. How many percentage points more accurate is Model A?
33. 33.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 21 right and Model B got 20 right. How many percentage points more accurate is Model A?
34. 34.🎯 Meera’s recycling sorter is 70% accurate. If it is tested on 40 new waste photos, how many should it get right?
35. 35.❌ Aarav’s recycling sorter was tested on 22 new waste photos and got 14 right. How many did it get wrong?
36. 36.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 38 right. What is its accuracy in percent?
37. 37.🎯 Aarav’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
39. 39.❌ Rohan’s recycling sorter was tested on 39 new waste photos and got 36 right. How many did it get wrong?
40. 40.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?

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