Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 174 · 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.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
2. 2.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
3. 3.🎯 Ananya’s fruit sorter was tested on 25 new fruit photos and got 17 right. What is its accuracy in percent?
4. 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
5. 5.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
6. 6.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
8. 8.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
9. 9.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 80 new waste photos, how many should it get right?
10. 10.❌ Arjun’s bird-song app was tested on 47 new bird songs and got 38 right. How many did it get wrong?
11. 11.❌ Aarav’s spam spotter was tested on 25 new messages and got 16 right. How many did it get wrong?
12. 12.❌ Aarav’s fruit sorter was tested on 17 new fruit photos and got 16 right. How many did it get wrong?
13. 13.🎯 Meera’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
14. 14.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
16. 16.🎯 Meera’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
18. 18.🎯 Vihaan’s leaf identifier is 90% accurate. If it is tested on 50 new leaf photos, how many should it get right?
19. 19.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 50 new leaf photos, how many should it get right?
20. 20.🧪 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
21. 21.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
22. 22.🎯 Nisha’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
24. 24.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 11 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
26. 26.🎯 Diya’s leaf identifier is 90% accurate. If it is tested on 80 new leaf photos, how many should it get right?
27. 27.🎯 Rohan’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
28. 28.🎯 Ananya’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
30. 30.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
31. 31.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
32. 32.📦 Vihaan collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 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
34. 34.🎯 Ishaan’s handwriting reader was tested on 20 new handwritten letters and got 12 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
36. 36.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
37. 37.🎯 Ananya’s recycling sorter was tested on 20 new waste photos and got 16 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
39. 39.📦 Ananya collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model

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