Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 621 · 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 — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
2. 2.📦 Nisha collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Arjun’s bird-song app is 50% accurate. If it is tested on 20 new bird songs, how many should it get right?
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
5. 5.❌ Rohan’s handwriting reader was tested on 44 new handwritten letters and got 40 right. How many did it get wrong?
6. 6.📦 Aarav collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
7. 7.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
8. 8.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
9. 9.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 49 right and Model B got 44 right. How many percentage points more accurate is Model A?
10. 10.❌ Ishaan’s bird-song app was tested on 29 new bird songs and got 23 right. How many did it get wrong?
11. 11.📦 Diya collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
12. 12.🧪 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
13. 13.📦 Ananya collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Nisha’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
15. 15.🎯 Diya’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
16. 16.🎯 Ananya’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
18. 18.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
19. 19.❌ Ananya’s bird-song app was tested on 23 new bird songs and got 20 right. How many did it get wrong?
20. 20.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
21. 21.📋 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
22. 22.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
23. 23.🎯 Kabir’s handwriting reader is 80% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
25. 25.🎯 Vihaan’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
26. 26.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
27. 27.🎯 Meera’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
29. 29.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
30. 30.🎯 Vihaan’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
31. 31.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 14 right and Model B got 13 right. How many percentage points more accurate is Model A?
32. 32.🎯 Aarav’s bird-song app is 50% accurate. If it is tested on 60 new bird songs, how many should it get right?
33. 33.🎯 Diya’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
34. 34.🎯 Diya’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
36. 36.🎯 Rohan’s spam spotter was tested on 20 new messages and got 17 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
38. 38.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
39. 39.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
40. 40.🎯 Kabir’s bird-song app was tested on 20 new bird songs and got 10 right. What is its accuracy in percent?

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