Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 195 · 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 — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
2. 2.🎯 Rohan’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
4. 4.🎯 Nisha’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
6. 6.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
7. 7.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
8. 8.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
10. 10.📦 Rohan collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
12. 12.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
13. 13.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
14. 14.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
15. 15.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
16. 16.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
17. 17.📦 Nisha collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
18. 18.🎯 Saanvi’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
19. 19.📋 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
20. 20.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
21. 21.📦 Kabir collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
22. 22.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 44 right and Model B got 29 right. How many percentage points more accurate is Model A?
23. 23.🎯 Tara’s recycling sorter was tested on 50 new waste photos and got 43 right. What is its accuracy in percent?
24. 24.📦 Arjun collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
26. 26.🎯 Vihaan’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
27. 27.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 22 right and Model B got 20 right. How many percentage points more accurate is Model A?
28. 28.🎯 Ishaan’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
29. 29.🎯 Saanvi’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
30. 30.❌ Aarav’s fruit sorter was tested on 23 new fruit photos and got 16 right. How many did it get wrong?
31. 31.📦 Vihaan collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
33. 33.❌ Nisha’s handwriting reader was tested on 25 new handwritten letters and got 16 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
35. 35.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
36. 36.📦 Rohan collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 40 right and Model B got 35 right. How many percentage points more accurate is Model A?
38. 38.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
40. 40.❌ Kabir’s spam spotter was tested on 41 new messages and got 35 right. How many did it get wrong?

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