Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 586 · 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) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
2. 2.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
4. 4.📦 Diya collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.🎯 Rohan’s fruit sorter is 60% accurate. If it is tested on 40 new fruit photos, how many should it get right?
6. 6.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
7. 7.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 14 right and Model B got 10 right. How many percentage points more accurate is Model A?
8. 8.🎯 Arjun’s bird-song app is 50% accurate. If it is tested on 90 new bird songs, how many should it get right?
9. 9.❌ Diya’s leaf identifier was tested on 19 new leaf photos and got 16 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
11. 11.❌ Rohan’s bird-song app was tested on 17 new bird songs and got 14 right. How many did it get wrong?
12. 12.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 49 right and Model B got 46 right. How many percentage points more accurate is Model A?
13. 13.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
14. 14.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
15. 15.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
16. 16.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
17. 17.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
18. 18.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
20. 20.❌ Kabir’s spam spotter was tested on 26 new messages and got 20 right. How many did it get wrong?
21. 21.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 32 right and Model B got 27 right. How many percentage points more accurate is Model A?
22. 22.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 49 right and Model B got 36 right. How many percentage points more accurate is Model A?
23. 23.🎯 Diya’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
24. 24.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
26. 26.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
27. 27.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
28. 28.❌ Saanvi’s bird-song app was tested on 43 new bird songs and got 37 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
30. 30.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
31. 31.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
33. 33.📦 Kabir collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
34. 34.❌ Diya’s recycling sorter was tested on 40 new waste photos and got 37 right. How many did it get wrong?
35. 35.❌ Diya’s spam spotter was tested on 13 new messages and got 10 right. How many did it get wrong?
36. 36.🎯 Ananya’s recycling sorter was tested on 25 new waste photos and got 17 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
38. 38.❌ Ishaan’s spam spotter was tested on 46 new messages and got 38 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
40. 40.🎯 Saanvi’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?

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