Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 568 · 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 — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
2. 2.🎯 Diya’s spam spotter is 80% accurate. If it is tested on 100 new messages, how many should it get right?
3. 3.🎯 Saanvi’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
5. 5.❌ Tara’s spam spotter was tested on 23 new messages and got 16 right. How many did it get wrong?
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.🎯 Rohan’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
8. 8.📦 Nisha collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
10. 10.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
11. 11.❌ Rohan’s recycling sorter was tested on 39 new waste photos and got 36 right. How many did it get wrong?
12. 12.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
13. 13.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
14. 14.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
15. 15.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
16. 16.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
17. 17.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 37 right and Model B got 25 right. How many percentage points more accurate is Model A?
18. 18.🎯 Kabir’s handwriting reader is 50% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
19. 19.🎯 Tara’s bird-song app is 80% accurate. If it is tested on 30 new bird songs, how many should it get right?
20. 20.📋 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
21. 21.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
22. 22.📦 Tara collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.🎯 Diya’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
25. 25.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
26. 26.❌ Kabir’s handwriting reader was tested on 33 new handwritten letters and got 26 right. How many did it get wrong?
27. 27.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
28. 28.🎯 Diya’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
29. 29.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
30. 30.❌ Rohan’s bird-song app was tested on 38 new bird songs and got 29 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
32. 32.📦 Vihaan collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Meera’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
34. 34.🎯 Aarav’s spam spotter is 60% accurate. If it is tested on 80 new messages, how many should it get right?
35. 35.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 42 right and Model B got 36 right. How many percentage points more accurate is Model A?
36. 36.❌ Saanvi’s spam spotter was tested on 33 new messages and got 27 right. How many did it get wrong?
37. 37.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
39. 39.📦 Diya collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.❌ Ishaan’s fruit sorter was tested on 38 new fruit photos and got 35 right. How many did it get wrong?

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