Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 102 · 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 — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
2. 2.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
3. 3.🎯 Rohan’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
4. 4.🎯 Diya’s fruit sorter was tested on 50 new fruit photos and got 50 right. What is its accuracy in percent?
5. 5.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
6. 6.📦 Meera collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Diya’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
8. 8.🎯 Ishaan’s leaf identifier is 60% accurate. If it is tested on 70 new leaf photos, how many should it get right?
9. 9.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
10. 10.🎯 Aarav’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
12. 12.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
13. 13.🎯 Arjun’s fruit sorter was tested on 25 new fruit photos and got 25 right. What is its accuracy in percent?
14. 14.🧪 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
15. 15.❌ Kabir’s fruit sorter was tested on 47 new fruit photos and got 46 right. How many did it get wrong?
16. 16.❌ Vihaan’s handwriting reader was tested on 43 new handwritten letters and got 42 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
18. 18.🎯 Ishaan’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
19. 19.🎯 Ananya’s handwriting reader is 60% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
20. 20.📦 Ishaan collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
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 see if it learned (d) to save paper
22. 22.❌ Rohan’s bird-song app was tested on 43 new bird songs and got 38 right. How many did it get wrong?
23. 23.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 17 right. How many percentage points more accurate is Model A?
24. 24.📋 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
25. 25.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
26. 26.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
27. 27.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
28. 28.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
29. 29.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
30. 30.❌ Ishaan’s handwriting reader was tested on 43 new handwritten letters and got 42 right. How many did it get wrong?
31. 31.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 39 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
33. 33.🎯 Ishaan’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
35. 35.📦 Saanvi collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
37. 37.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
38. 38.🎯 Saanvi’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
40. 40.❌ Kabir’s leaf identifier was tested on 35 new leaf photos and got 26 right. How many did it get wrong?

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