Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 328 · 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.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 35 right and Model B got 31 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
3. 3.🎯 Arjun’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
5. 5.🧪 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
6. 6.❌ Nisha’s leaf identifier was tested on 36 new leaf photos and got 31 right. How many did it get wrong?
7. 7.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
8. 8.🎯 Arjun’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
10. 10.🎯 Diya’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
11. 11.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 42 right and Model B got 41 right. How many percentage points more accurate is Model A?
12. 12.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
13. 13.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
14. 14.🎯 Nisha’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
15. 15.📦 Arjun collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Ananya’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
18. 18.📋 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
19. 19.📦 Saanvi collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.❌ Aarav’s recycling sorter was tested on 19 new waste photos and got 17 right. How many did it get wrong?
21. 21.🎯 Tara’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
23. 23.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 100 new fruit photos, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
25. 25.❌ Ananya’s recycling sorter was tested on 37 new waste photos and got 35 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — tag each photo by type or train the model? (a) tag each photo by type (b) train the model
27. 27.❌ Ananya’s spam spotter was tested on 49 new messages and got 40 right. How many did it get wrong?
28. 28.📦 Rohan collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
29. 29.❌ Arjun’s leaf identifier was tested on 41 new leaf photos and got 34 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
31. 31.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 18 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
33. 33.🎯 Kabir’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
34. 34.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
35. 35.📦 Nisha collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.❌ Saanvi’s recycling sorter was tested on 32 new waste photos and got 28 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
38. 38.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
39. 39.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
40. 40.📦 Diya collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?

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