Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 508 · 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 — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
2. 2.🎯 Rohan’s recycling sorter was tested on 25 new waste photos and got 20 right. What is its accuracy in percent?
3. 3.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
4. 4.🎯 Meera’s bird-song app is 60% accurate. If it is tested on 80 new bird songs, how many should it get right?
5. 5.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
6. 6.📦 Ananya collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Kabir’s recycling sorter was tested on 25 new waste photos and got 25 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
9. 9.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
10. 10.🧪 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
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
12. 12.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
13. 13.🎯 Rohan’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
15. 15.❌ Ishaan’s fruit sorter was tested on 39 new fruit photos and got 35 right. How many did it get wrong?
16. 16.❌ Arjun’s spam spotter was tested on 34 new messages and got 33 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
18. 18.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
19. 19.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
20. 20.📦 Kabir collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
22. 22.🎯 Rohan’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
24. 24.📦 Meera collected 40 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 — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
26. 26.❌ Arjun’s fruit sorter was tested on 34 new fruit photos and got 29 right. How many did it get wrong?
27. 27.❌ Arjun’s leaf identifier was tested on 50 new leaf photos and got 49 right. How many did it get wrong?
28. 28.❌ Tara’s handwriting reader was tested on 33 new handwritten letters and got 24 right. How many did it get wrong?
29. 29.📦 Tara collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
31. 31.📦 Arjun collected 120 labelled fruit photos for a fruit 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 improve data, retest? (a) calculate percent right (b) improve data, retest
33. 33.❌ Vihaan’s bird-song app was tested on 40 new bird songs and got 33 right. How many did it get wrong?
34. 34.🎯 Diya’s leaf identifier is 80% accurate. If it is tested on 50 new leaf photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
36. 36.❌ Diya’s recycling sorter was tested on 32 new waste photos and got 25 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
38. 38.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
39. 39.📋 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
40. 40.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy

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