Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 319 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
2. 2.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
3. 3.❌ Nisha’s recycling sorter was tested on 40 new waste photos and got 38 right. How many did it get wrong?
4. 4.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
6. 6.📋 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
7. 7.❌ Nisha’s bird-song app was tested on 19 new bird songs and got 11 right. How many did it get wrong?
8. 8.📦 Arjun collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
9. 9.📦 Diya collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.🎯 Diya’s handwriting reader is 70% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
12. 12.🎯 Vihaan’s recycling sorter was tested on 50 new waste photos and got 33 right. What is its accuracy in percent?
13. 13.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
14. 14.❌ Vihaan’s fruit sorter was tested on 18 new fruit photos and got 17 right. How many did it get wrong?
15. 15.📦 Ishaan collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 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
17. 17.📦 Ishaan collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 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
19. 19.🧪 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
20. 20.🎯 Ananya’s bird-song app was tested on 20 new bird songs and got 10 right. What is its accuracy in percent?
21. 21.🎯 Aarav’s leaf identifier is 60% accurate. If it is tested on 90 new leaf photos, how many should it get right?
22. 22.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 47 right and Model B got 39 right. How many percentage points more accurate is Model A?
23. 23.🎯 Kabir’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
24. 24.🎯 Aarav’s recycling sorter was tested on 25 new waste photos and got 21 right. What is its accuracy in percent?
25. 25.🎯 Diya’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
26. 26.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
28. 28.📦 Diya collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
29. 29.❌ Diya’s fruit sorter was tested on 17 new fruit photos and got 13 right. How many did it get wrong?
30. 30.🎯 Kabir’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
31. 31.🎯 Rohan’s recycling sorter is 80% accurate. If it is tested on 10 new waste photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
33. 33.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
34. 34.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 34 right and Model B got 32 right. How many percentage points more accurate is Model A?
35. 35.🎯 Nisha’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
36. 36.📦 Arjun collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
37. 37.❌ Arjun’s leaf identifier was tested on 48 new leaf photos and got 39 right. How many did it get wrong?
38. 38.📦 Diya collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
40. 40.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?

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