Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 665 · 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.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 11 right and Model B got 10 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
3. 3.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 80 new waste photos, how many should it get right?
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
5. 5.📦 Meera collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
7. 7.🧪 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
8. 8.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
9. 9.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
10. 10.❌ Arjun’s bird-song app was tested on 29 new bird songs and got 20 right. How many did it get wrong?
11. 11.🎯 Kabir’s handwriting reader was tested on 20 new handwritten letters and got 10 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
14. 14.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
15. 15.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
16. 16.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
17. 17.📋 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
18. 18.❌ Ananya’s recycling sorter was tested on 39 new waste photos and got 34 right. How many did it get wrong?
19. 19.🎯 Nisha’s handwriting reader was tested on 50 new handwritten letters and got 50 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
21. 21.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
23. 23.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
24. 24.📦 Ishaan collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
26. 26.🎯 Kabir’s spam spotter is 80% accurate. If it is tested on 20 new messages, how many should it get right?
27. 27.🎯 Arjun’s leaf identifier was tested on 50 new leaf photos and got 37 right. What is its accuracy in percent?
28. 28.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
29. 29.📦 Ananya collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Kabir’s fruit sorter was tested on 25 new fruit photos and got 18 right. What is its accuracy in percent?
31. 31.📋 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
32. 32.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
33. 33.🎯 Meera’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
35. 35.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
36. 36.❌ Saanvi’s spam spotter was tested on 32 new messages and got 29 right. How many did it get wrong?
37. 37.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
38. 38.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
39. 39.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest

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