Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 902 · 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 fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 15 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
3. 3.❌ Ananya’s leaf identifier was tested on 21 new leaf photos and got 13 right. How many did it get wrong?
4. 4.📦 Saanvi collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
5. 5.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
6. 6.🎯 Vihaan’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?
7. 7.🧪 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
8. 8.🎯 Vihaan’s fruit sorter was tested on 25 new fruit photos and got 13 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
10. 10.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
11. 11.🎯 Ishaan’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
13. 13.❌ Nisha’s spam spotter was tested on 43 new messages and got 34 right. How many did it get wrong?
14. 14.🎯 Kabir’s fruit sorter is 60% accurate. If it is tested on 50 new fruit photos, how many should it get right?
15. 15.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 45 right and Model B got 30 right. How many percentage points more accurate is Model A?
16. 16.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
17. 17.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
18. 18.🎯 Ananya’s spam spotter is 70% accurate. If it is tested on 50 new messages, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
20. 20.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
21. 21.❌ Tara’s spam spotter was tested on 50 new messages and got 45 right. How many did it get wrong?
22. 22.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
23. 23.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 22 right and Model B got 17 right. How many percentage points more accurate is Model A?
24. 24.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
25. 25.🎯 Arjun’s spam spotter was tested on 20 new messages and got 17 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
28. 28.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
29. 29.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
30. 30.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
31. 31.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
32. 32.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 90 new fruit photos, how many should it get right?
33. 33.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
34. 34.📦 Arjun collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
35. 35.📦 Arjun collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
37. 37.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
39. 39.❌ Rohan’s handwriting reader was tested on 26 new handwritten letters and got 22 right. How many did it get wrong?
40. 40.🎯 Tara’s recycling sorter was tested on 50 new waste photos and got 45 right. What is its accuracy in percent?

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