Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 729 · 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.🧪 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
2. 2.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
3. 3.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 12 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
5. 5.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 14 right. How many percentage points more accurate is Model A?
6. 6.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 45 right and Model B got 29 right. How many percentage points more accurate is Model A?
7. 7.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
8. 8.🎯 Tara’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
9. 9.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
11. 11.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
12. 12.❌ Rohan’s handwriting reader was tested on 23 new handwritten letters and got 16 right. How many did it get wrong?
13. 13.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
15. 15.🎯 Vihaan’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
16. 16.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
17. 17.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
18. 18.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
19. 19.❌ Aarav’s leaf identifier was tested on 27 new leaf photos and got 25 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
21. 21.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
22. 22.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
23. 23.❌ Meera’s handwriting reader was tested on 29 new handwritten letters and got 28 right. How many did it get wrong?
24. 24.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
25. 25.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
26. 26.🎯 Meera’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
28. 28.❌ Saanvi’s recycling sorter was tested on 28 new waste photos and got 23 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
30. 30.🎯 Diya’s handwriting reader was tested on 10 new handwritten letters and got 9 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
32. 32.🎯 Rohan’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
34. 34.📋 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
35. 35.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
36. 36.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
37. 37.📦 Nisha collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
39. 39.📦 Ananya collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
40. 40.📦 Diya collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?

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