Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 159 · 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.❌ Aarav’s recycling sorter was tested on 47 new waste photos and got 43 right. How many did it get wrong?
2. 2.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
3. 3.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
5. 5.🎯 Tara’s fruit sorter was tested on 50 new fruit photos and got 40 right. What is its accuracy in percent?
6. 6.📦 Ishaan collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Diya’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
9. 9.🎯 Diya’s bird-song app is 70% accurate. If it is tested on 50 new bird songs, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
11. 11.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
12. 12.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
13. 13.🎯 Rohan’s leaf identifier was tested on 20 new leaf photos and got 14 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
15. 15.📦 Kabir collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
16. 16.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
17. 17.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
18. 18.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
19. 19.🎯 Arjun’s bird-song app is 60% accurate. If it is tested on 100 new bird songs, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
21. 21.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
22. 22.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 14 right. What is its accuracy in percent?
23. 23.📦 Kabir collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
25. 25.📦 Aarav collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.🎯 Kabir’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?
27. 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
28. 28.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 47 right. How many percentage points more accurate is Model A?
29. 29.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
30. 30.🎯 Diya’s leaf identifier was tested on 50 new leaf photos and got 36 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
32. 32.🎯 Aarav’s handwriting reader is 70% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
33. 33.❌ Ishaan’s handwriting reader was tested on 39 new handwritten letters and got 38 right. How many did it get wrong?
34. 34.❌ Saanvi’s recycling sorter was tested on 44 new waste photos and got 42 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
36. 36.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
37. 37.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
38. 38.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
39. 39.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
40. 40.❌ Kabir’s handwriting reader was tested on 45 new handwritten letters and got 39 right. How many did it get wrong?

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