Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 658 · 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 save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
2. 2.📦 Arjun collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Ananya’s handwriting reader was tested on 20 new handwritten letters and got 16 right. What is its accuracy in percent?
4. 4.🧪 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
5. 5.🎯 Arjun’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
7. 7.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
8. 8.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 36 right and Model B got 30 right. How many percentage points more accurate is Model A?
9. 9.🎯 Tara’s bird-song app was tested on 50 new bird songs and got 36 right. What is its accuracy in percent?
10. 10.🎯 Diya’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
11. 11.❌ Aarav’s fruit sorter was tested on 38 new fruit photos and got 36 right. How many did it get wrong?
12. 12.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
13. 13.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
14. 14.❌ Meera’s spam spotter was tested on 30 new messages and got 24 right. How many did it get wrong?
15. 15.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
16. 16.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
17. 17.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
18. 18.🎯 Vihaan’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
19. 19.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
20. 20.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
21. 21.🎯 Meera’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
22. 22.🎯 Tara’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
23. 23.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
24. 24.🎯 Diya’s leaf identifier is 80% accurate. If it is tested on 50 new leaf photos, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
26. 26.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
27. 27.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
28. 28.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
30. 30.🎯 Diya’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
32. 32.🎯 Nisha’s leaf identifier is 50% accurate. If it is tested on 80 new leaf photos, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
34. 34.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
35. 35.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
36. 36.🎯 Kabir’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
37. 37.🎯 Rohan’s leaf identifier is 70% accurate. If it is tested on 40 new leaf photos, how many should it get right?
38. 38.❌ Ishaan’s handwriting reader was tested on 40 new handwritten letters and got 31 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
40. 40.📦 Arjun collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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