Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 617 · 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 25 waste photos. Model A got 22 right and Model B got 18 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
3. 3.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 22 right and Model B got 13 right. How many percentage points more accurate is Model A?
4. 4.🎯 Saanvi’s fruit sorter is 80% accurate. If it is tested on 70 new fruit photos, how many should it get right?
5. 5.🎯 Ishaan’s bird-song app is 50% accurate. If it is tested on 60 new bird songs, how many should it get right?
6. 6.🎯 Vihaan’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
8. 8.🎯 Diya’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
9. 9.🎯 Meera’s fruit sorter was tested on 50 new fruit photos and got 38 right. What is its accuracy in percent?
10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
11. 11.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
12. 12.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
13. 13.🎯 Rohan’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
15. 15.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
17. 17.🎯 Nisha’s recycling sorter was tested on 50 new waste photos and got 50 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
19. 19.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
20. 20.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
21. 21.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
22. 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
23. 23.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
24. 24.🎯 Rohan’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
25. 25.🧪 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
26. 26.🎯 Diya’s bird-song app is 90% accurate. If it is tested on 30 new bird songs, how many should it get right?
27. 27.🎯 Tara’s handwriting reader was tested on 20 new handwritten letters and got 10 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
29. 29.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
30. 30.❌ Diya’s leaf identifier was tested on 33 new leaf photos and got 28 right. How many did it get wrong?
31. 31.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
33. 33.🎯 Saanvi’s leaf identifier was tested on 50 new leaf photos and got 40 right. What is its accuracy in percent?
34. 34.🎯 Aarav’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
35. 35.❌ Diya’s bird-song app was tested on 26 new bird songs and got 20 right. How many did it get wrong?
36. 36.📦 Meera collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Meera’s fruit sorter is 50% accurate. If it is tested on 70 new fruit photos, how many should it get right?
38. 38.🎯 Nisha’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
39. 39.🎯 Saanvi’s leaf identifier is 70% accurate. If it is tested on 10 new leaf photos, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model

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