Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 437 · 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.🎯 Ishaan’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
2. 2.📦 Ishaan collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
4. 4.❌ Diya’s bird-song app was tested on 16 new bird songs and got 11 right. How many did it get wrong?
5. 5.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
6. 6.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
7. 7.🎯 Ishaan’s bird-song app is 50% accurate. If it is tested on 90 new bird songs, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
9. 9.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
10. 10.❌ Ishaan’s fruit sorter was tested on 16 new fruit photos and got 13 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
12. 12.🎯 Arjun’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
14. 14.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
15. 15.🎯 Rohan’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
16. 16.🎯 Rohan’s leaf identifier is 90% accurate. If it is tested on 40 new leaf photos, how many should it get right?
17. 17.🎯 Arjun’s recycling sorter was tested on 25 new waste photos and got 24 right. What is its accuracy in percent?
18. 18.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
19. 19.📦 Arjun collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Ananya’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
22. 22.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 44 right and Model B got 40 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
24. 24.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
25. 25.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
26. 26.🎯 Aarav’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
28. 28.📦 Meera collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
30. 30.🎯 Diya’s spam spotter is 80% accurate. If it is tested on 40 new messages, how many should it get right?
31. 31.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 45 right and Model B got 37 right. How many percentage points more accurate is Model A?
32. 32.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
33. 33.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
34. 34.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
35. 35.❌ Rohan’s fruit sorter was tested on 29 new fruit photos and got 23 right. How many did it get wrong?
36. 36.📦 Ishaan collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.📦 Meera collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 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
39. 39.❌ Ananya’s recycling sorter was tested on 22 new waste photos and got 13 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos

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