Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 674 · 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 — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
2. 2.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
3. 3.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
4. 4.🎯 Ananya’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
6. 6.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
8. 8.📦 Nisha collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
10. 10.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 49 right and Model B got 29 right. How many percentage points more accurate is Model A?
11. 11.❌ Vihaan’s leaf identifier was tested on 47 new leaf photos and got 45 right. How many did it get wrong?
12. 12.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
13. 13.❌ Ishaan’s bird-song app was tested on 49 new bird songs and got 42 right. How many did it get wrong?
14. 14.❌ Ananya’s leaf identifier was tested on 41 new leaf photos and got 37 right. How many did it get wrong?
15. 15.❌ Nisha’s fruit sorter was tested on 40 new fruit photos and got 35 right. How many did it get wrong?
16. 16.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
17. 17.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
18. 18.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
19. 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
20. 20.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
21. 21.🎯 Nisha’s handwriting reader is 50% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
22. 22.📋 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
23. 23.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
24. 24.🎯 Ishaan’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
25. 25.🎯 Tara’s recycling sorter was tested on 20 new waste photos and got 12 right. What is its accuracy in percent?
26. 26.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
27. 27.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
28. 28.🎯 Rohan’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
29. 29.🎯 Aarav’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
31. 31.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
32. 32.📋 Planning an AI project: which comes first — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
33. 33.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
34. 34.❌ Diya’s fruit sorter was tested on 41 new fruit photos and got 39 right. How many did it get wrong?
35. 35.📦 Nisha collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
37. 37.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
38. 38.❌ Diya’s bird-song app was tested on 38 new bird songs and got 33 right. How many did it get wrong?
39. 39.⚖️ 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?
40. 40.🎯 Arjun’s leaf identifier was tested on 20 new leaf photos and got 16 right. What is its accuracy in percent?

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