Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 649 · 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) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
2. 2.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
3. 3.❌ Arjun’s spam spotter was tested on 18 new messages and got 12 right. How many did it get wrong?
4. 4.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 11 right and Model B got 10 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
6. 6.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
7. 7.❌ Saanvi’s bird-song app was tested on 19 new bird songs and got 18 right. How many did it get wrong?
8. 8.🎯 Kabir’s recycling sorter is 90% accurate. If it is tested on 90 new waste photos, how many should it get right?
9. 9.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
10. 10.❌ Tara’s leaf identifier was tested on 37 new leaf photos and got 31 right. How many did it get wrong?
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.❌ Ananya’s fruit sorter was tested on 33 new fruit photos and got 24 right. How many did it get wrong?
13. 13.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
15. 15.🎯 Rohan’s handwriting reader is 60% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
16. 16.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
17. 17.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
18. 18.🎯 Meera’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
19. 19.❌ Ananya’s fruit sorter was tested on 15 new fruit photos and got 11 right. How many did it get wrong?
20. 20.🧪 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
21. 21.❌ Ananya’s recycling sorter was tested on 42 new waste photos and got 39 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
23. 23.❌ Ananya’s fruit sorter was tested on 49 new fruit photos and got 48 right. How many did it get wrong?
24. 24.🎯 Nisha’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
25. 25.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
26. 26.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
27. 27.🎯 Vihaan’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
28. 28.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 40 new messages, how many should it get right?
29. 29.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
31. 31.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
32. 32.🎯 Kabir’s spam spotter is 60% accurate. If it is tested on 60 new messages, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
34. 34.🎯 Vihaan’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
35. 35.📦 Kabir collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
37. 37.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
38. 38.🧪 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
39. 39.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
40. 40.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?

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