Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 888 · 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 — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
2. 2.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
3. 3.❌ Diya’s spam spotter was tested on 31 new messages and got 24 right. How many did it get wrong?
4. 4.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
6. 6.🎯 Diya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
8. 8.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
10. 10.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
11. 11.📦 Ananya collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Vihaan’s spam spotter was tested on 50 new messages and got 30 right. What is its accuracy in percent?
13. 13.🎯 Nisha’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
14. 14.🎯 Rohan’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
15. 15.📦 Ishaan collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
16. 16.📦 Meera collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
18. 18.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
20. 20.🎯 Meera’s spam spotter was tested on 20 new messages and got 16 right. What is its accuracy in percent?
21. 21.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 100 new fruit photos, how many should it get right?
22. 22.🎯 Kabir’s handwriting reader is 80% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
23. 23.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
24. 24.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 18 right and Model B got 10 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
26. 26.🎯 Vihaan’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
28. 28.❌ Tara’s leaf identifier was tested on 26 new leaf photos and got 23 right. How many did it get wrong?
29. 29.❌ Tara’s spam spotter was tested on 14 new messages and got 13 right. How many did it get wrong?
30. 30.📦 Tara collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Arjun’s handwriting reader is 50% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
32. 32.📦 Aarav collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
34. 34.🎯 Ishaan’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
36. 36.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
37. 37.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
39. 39.❌ Nisha’s spam spotter was tested on 46 new messages and got 41 right. How many did it get wrong?
40. 40.🎯 Vihaan’s fruit sorter was tested on 50 new fruit photos and got 38 right. What is its accuracy in percent?

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