Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 794 · 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.📦 Vihaan collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
2. 2.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 42 right. What is its accuracy in percent?
3. 3.🧪 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
4. 4.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
5. 5.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
7. 7.🎯 Nisha’s fruit sorter was tested on 25 new fruit photos and got 24 right. What is its accuracy in percent?
8. 8.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
9. 9.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 16 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
11. 11.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
12. 12.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
13. 13.📦 Diya collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — fix it and test again or choose what to sort? (a) fix it and test again (b) choose what to sort
16. 16.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
17. 17.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
18. 18.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
19. 19.❌ Ananya’s handwriting reader was tested on 30 new handwritten letters and got 28 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
21. 21.❌ Meera’s spam spotter was tested on 15 new messages and got 14 right. How many did it get wrong?
22. 22.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
23. 23.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
24. 24.📦 Ananya collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.📦 Nisha collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 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
27. 27.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
28. 28.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 30 right and Model B got 25 right. How many percentage points more accurate is Model A?
29. 29.🎯 Arjun’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?
30. 30.📦 Arjun collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
31. 31.📦 Kabir collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 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
33. 33.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
34. 34.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
35. 35.🎯 Rohan’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
37. 37.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
38. 38.🎯 Nisha’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
40. 40.🎯 Diya’s fruit sorter is 60% accurate. If it is tested on 90 new fruit photos, how many should it get right?

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