Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 321 · 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.❌ Arjun’s bird-song app was tested on 18 new bird songs and got 15 right. How many did it get wrong?
2. 2.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
3. 3.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
4. 4.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 41 right and Model B got 34 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
6. 6.📦 Diya collected 60 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 — train the model or split train and test? (a) train the model (b) split train and test
8. 8.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 32 right. How many percentage points more accurate is Model A?
9. 9.🎯 Kabir’s spam spotter is 80% accurate. If it is tested on 30 new messages, how many should it get right?
10. 10.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
11. 11.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 40 new leaf photos, how many should it get right?
12. 12.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 20 new messages, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
14. 14.🎯 Meera’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
17. 17.🎯 Arjun’s recycling sorter was tested on 50 new waste photos and got 31 right. What is its accuracy in percent?
18. 18.🎯 Saanvi’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
19. 19.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
20. 20.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
21. 21.📦 Saanvi collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
22. 22.❌ Ishaan’s bird-song app was tested on 23 new bird songs and got 21 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
24. 24.📦 Arjun collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.❌ Ishaan’s fruit sorter was tested on 17 new fruit photos and got 10 right. How many did it get wrong?
26. 26.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
27. 27.📦 Kabir collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Vihaan’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
29. 29.📋 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
30. 30.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
31. 31.📦 Kabir collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Rohan’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
33. 33.❌ Rohan’s leaf identifier was tested on 19 new leaf photos and got 16 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
35. 35.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
36. 36.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
37. 37.🎯 Rohan’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
39. 39.🎯 Diya’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
40. 40.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?

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