Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 717 · 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 — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
2. 2.❌ Kabir’s handwriting reader was tested on 45 new handwritten letters and got 41 right. How many did it get wrong?
3. 3.❌ Saanvi’s recycling sorter was tested on 20 new waste photos and got 19 right. How many did it get wrong?
4. 4.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
5. 5.📦 Tara collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
6. 6.🎯 Tara’s handwriting reader is 50% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
9. 9.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 13 right. How many percentage points more accurate is Model A?
10. 10.❌ Meera’s leaf identifier was tested on 31 new leaf photos and got 24 right. How many did it get wrong?
11. 11.🎯 Ishaan’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
12. 12.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 48 right and Model B got 46 right. How many percentage points more accurate is Model A?
13. 13.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
14. 14.📋 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
15. 15.🎯 Saanvi’s recycling sorter was tested on 25 new waste photos and got 15 right. What is its accuracy in percent?
16. 16.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
17. 17.📦 Meera collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
18. 18.❌ Diya’s fruit sorter was tested on 40 new fruit photos and got 34 right. How many did it get wrong?
19. 19.📦 Aarav collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
21. 21.❌ Arjun’s bird-song app was tested on 45 new bird songs and got 40 right. How many did it get wrong?
22. 22.📋 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
23. 23.📦 Kabir collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
25. 25.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
26. 26.📋 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
27. 27.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
28. 28.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
29. 29.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
30. 30.📦 Nisha collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
31. 31.📦 Ananya collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
33. 33.🎯 Diya’s bird-song app is 60% accurate. If it is tested on 40 new bird songs, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
35. 35.❌ Ishaan’s fruit sorter was tested on 38 new fruit photos and got 34 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
37. 37.🎯 Aarav’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
39. 39.📦 Kabir collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.📦 Kabir collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

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