Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 810 · 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.🎯 Vihaan’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
2. 2.📦 Saanvi collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
3. 3.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
4. 4.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
5. 5.🧪 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
6. 6.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
7. 7.📋 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
8. 8.❌ Aarav’s spam spotter was tested on 16 new messages and got 11 right. How many did it get wrong?
9. 9.❌ Saanvi’s handwriting reader was tested on 27 new handwritten letters and got 24 right. How many did it get wrong?
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
11. 11.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
12. 12.🧪 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
13. 13.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 32 right and Model B got 31 right. How many percentage points more accurate is Model A?
14. 14.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
15. 15.📦 Kabir collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
16. 16.❌ Ananya’s leaf identifier was tested on 43 new leaf photos and got 41 right. How many did it get wrong?
17. 17.📦 Vihaan collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
19. 19.🎯 Ishaan’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
21. 21.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
22. 22.📦 Arjun collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
24. 24.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — pick a question to solve or try unseen examples? (a) pick a question to solve (b) try unseen examples
26. 26.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 19 right. What is its accuracy in percent?
27. 27.🎯 Tara’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
30. 30.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
31. 31.🎯 Rohan’s fruit sorter is 80% accurate. If it is tested on 90 new fruit photos, how many should it get right?
32. 32.❌ Ishaan’s bird-song app was tested on 17 new bird songs and got 13 right. How many did it get wrong?
33. 33.🎯 Ishaan’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
34. 34.📋 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
35. 35.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
36. 36.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
37. 37.📦 Diya collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
38. 38.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 46 right and Model B got 39 right. How many percentage points more accurate is Model A?
39. 39.❌ Kabir’s handwriting reader was tested on 40 new handwritten letters and got 34 right. How many did it get wrong?
40. 40.❌ Aarav’s fruit sorter was tested on 44 new fruit photos and got 40 right. How many did it get wrong?

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