Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 765 · 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.❌ Saanvi’s spam spotter was tested on 23 new messages and got 15 right. How many did it get wrong?
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
3. 3.🎯 Kabir’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
4. 4.🎯 Aarav’s recycling sorter was tested on 25 new waste photos and got 25 right. What is its accuracy in percent?
5. 5.🎯 Aarav’s recycling sorter is 80% accurate. If it is tested on 100 new waste photos, how many should it get right?
6. 6.📦 Tara collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
8. 8.❌ Arjun’s fruit sorter was tested on 30 new fruit photos and got 21 right. How many did it get wrong?
9. 9.🎯 Rohan’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
10. 10.🎯 Aarav’s leaf identifier was tested on 50 new leaf photos and got 31 right. What is its accuracy in percent?
11. 11.📋 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
12. 12.📦 Arjun collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
14. 14.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
15. 15.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
16. 16.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 45 right and Model B got 27 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
18. 18.📦 Tara collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
20. 20.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?
21. 21.❌ Rohan’s recycling sorter was tested on 23 new waste photos and got 18 right. How many did it get wrong?
22. 22.📋 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
23. 23.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
24. 24.🎯 Saanvi’s handwriting reader was tested on 20 new handwritten letters and got 20 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
26. 26.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
27. 27.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
28. 28.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
30. 30.🎯 Vihaan’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
31. 31.🎯 Meera’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
33. 33.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
34. 34.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
35. 35.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
36. 36.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 14 right and Model B got 13 right. How many percentage points more accurate is Model A?
37. 37.📦 Ishaan collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
39. 39.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
40. 40.🎯 Tara’s spam spotter is 60% accurate. If it is tested on 90 new messages, how many should it get right?

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