Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 509 · 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 — recheck every label or label each example? (a) recheck every label (b) label each example
2. 2.📦 Ishaan collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 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
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
5. 5.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
6. 6.❌ Nisha’s recycling sorter was tested on 26 new waste photos and got 18 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
8. 8.🎯 Rohan’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
9. 9.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
10. 10.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
11. 11.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 19 right. What is its accuracy in percent?
12. 12.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
13. 13.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
14. 14.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
15. 15.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
16. 16.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
17. 17.📦 Ananya collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
18. 18.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
20. 20.🎯 Ananya’s bird-song app is 50% accurate. If it is tested on 30 new bird songs, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
22. 22.🎯 Nisha’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
23. 23.🎯 Saanvi’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
25. 25.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
26. 26.🎯 Rohan’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
27. 27.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 30 new waste photos, how many should it get right?
28. 28.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 47 right and Model B got 34 right. How many percentage points more accurate is Model A?
29. 29.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
30. 30.🎯 Tara’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
32. 32.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
33. 33.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
34. 34.🎯 Diya’s recycling sorter was tested on 50 new waste photos and got 47 right. What is its accuracy in percent?
35. 35.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
37. 37.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
38. 38.🎯 Arjun’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
39. 39.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 42 right and Model B got 29 right. How many percentage points more accurate is Model A?
40. 40.🎯 Rohan’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?

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