Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 383 · 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.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
2. 2.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
4. 4.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
6. 6.🎯 Aarav’s leaf identifier was tested on 50 new leaf photos and got 36 right. What is its accuracy in percent?
7. 7.🎯 Aarav’s handwriting reader is 90% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
8. 8.⚖️ 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?
9. 9.❌ Kabir’s recycling sorter was tested on 17 new waste photos and got 11 right. How many did it get wrong?
10. 10.❌ Meera’s spam spotter was tested on 46 new messages and got 43 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
12. 12.🎯 Aarav’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
13. 13.🎯 Rohan’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
15. 15.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
16. 16.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
17. 17.📋 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
18. 18.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
19. 19.🎯 Saanvi’s bird-song app is 70% accurate. If it is tested on 80 new bird songs, how many should it get right?
20. 20.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
21. 21.📋 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
22. 22.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
23. 23.❌ Aarav’s bird-song app was tested on 25 new bird songs and got 19 right. How many did it get wrong?
24. 24.❌ Nisha’s recycling sorter was tested on 33 new waste photos and got 31 right. How many did it get wrong?
25. 25.🎯 Ishaan’s bird-song app is 90% accurate. If it is tested on 10 new bird songs, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
27. 27.📦 Rohan collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
28. 28.📦 Tara collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.❌ Kabir’s spam spotter was tested on 12 new messages and got 10 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
31. 31.🎯 Ananya’s recycling sorter is 90% accurate. If it is tested on 20 new waste photos, how many should it get right?
32. 32.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
33. 33.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
34. 34.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
35. 35.❌ Tara’s bird-song app was tested on 48 new bird songs and got 46 right. How many did it get wrong?
36. 36.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
38. 38.📦 Nisha collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
39. 39.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 46 right. How many percentage points more accurate is Model A?
40. 40.🎯 Vihaan’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?

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