Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 702 · 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.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
2. 2.📋 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
3. 3.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
4. 4.📦 Diya collected 60 labelled leaf photos for a leaf identifier 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 20 leaf photos. Model A got 20 right and Model B got 10 right. How many percentage points more accurate is Model A?
6. 6.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 43 right. How many percentage points more accurate is Model A?
7. 7.📦 Ishaan collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
8. 8.❌ Meera’s recycling sorter was tested on 32 new waste photos and got 23 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
11. 11.❌ Tara’s spam spotter was tested on 30 new messages and got 21 right. How many did it get wrong?
12. 12.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 32 right and Model B got 29 right. How many percentage points more accurate is Model A?
13. 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
14. 14.📦 Diya collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
16. 16.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
17. 17.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
18. 18.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
19. 19.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
20. 20.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
21. 21.❌ Arjun’s recycling sorter was tested on 26 new waste photos and got 19 right. How many did it get wrong?
22. 22.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
23. 23.📦 Rohan collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Diya’s recycling sorter was tested on 25 new waste photos and got 18 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
26. 26.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
27. 27.🎯 Aarav’s spam spotter was tested on 50 new messages and got 46 right. What is its accuracy in percent?
28. 28.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
29. 29.❌ Ishaan’s fruit sorter was tested on 20 new fruit photos and got 15 right. How many did it get wrong?
30. 30.❌ Vihaan’s fruit sorter was tested on 31 new fruit photos and got 25 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
32. 32.🎯 Diya’s fruit sorter was tested on 50 new fruit photos and got 31 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
34. 34.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
35. 35.🎯 Meera’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
37. 37.🎯 Diya’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
38. 38.🎯 Ishaan’s bird-song app was tested on 50 new bird songs and got 48 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
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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