Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 806 · 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.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
3. 3.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
4. 4.🎯 Kabir’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
5. 5.🎯 Tara’s fruit sorter was tested on 25 new fruit photos and got 15 right. What is its accuracy in percent?
6. 6.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
8. 8.📦 Ishaan collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.📦 Meera collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
11. 11.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
12. 12.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
13. 13.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
15. 15.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
16. 16.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
17. 17.🎯 Tara’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
18. 18.🎯 Meera’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
19. 19.🎯 Arjun’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
20. 20.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
21. 21.🎯 Vihaan’s handwriting reader is 50% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
22. 22.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 60 new fruit photos, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
24. 24.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
25. 25.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
26. 26.🎯 Diya’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
28. 28.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
29. 29.❌ Vihaan’s handwriting reader was tested on 24 new handwritten letters and got 23 right. How many did it get wrong?
30. 30.❌ Rohan’s bird-song app was tested on 40 new bird songs and got 37 right. How many did it get wrong?
31. 31.🎯 Aarav’s bird-song app was tested on 50 new bird songs and got 41 right. What is its accuracy in percent?
32. 32.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
34. 34.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
35. 35.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
36. 36.📦 Arjun collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
38. 38.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 21 right and Model B got 15 right. How many percentage points more accurate is Model A?
39. 39.🎯 Kabir’s spam spotter is 90% accurate. If it is tested on 40 new messages, how many should it get right?
40. 40.📦 Ananya collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

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