Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 306 · 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 — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
2. 2.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
4. 4.❌ Vihaan’s leaf identifier was tested on 50 new leaf photos and got 49 right. How many did it get wrong?
5. 5.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
6. 6.🧪 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
7. 7.🎯 Vihaan’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
9. 9.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
10. 10.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
11. 11.🎯 Aarav’s bird-song app was tested on 25 new bird songs and got 19 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
13. 13.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
14. 14.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
15. 15.🎯 Rohan’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
17. 17.📦 Aarav collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
19. 19.🎯 Saanvi’s spam spotter was tested on 25 new messages and got 21 right. What is its accuracy in percent?
20. 20.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
22. 22.📦 Diya collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
24. 24.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
25. 25.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
26. 26.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
27. 27.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
28. 28.❌ Meera’s fruit sorter was tested on 21 new fruit photos and got 14 right. How many did it get wrong?
29. 29.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
31. 31.📦 Nisha collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
33. 33.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
34. 34.🎯 Arjun’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
35. 35.🎯 Ishaan’s bird-song app was tested on 25 new bird songs and got 14 right. What is its accuracy in percent?
36. 36.📦 Vihaan collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
38. 38.🎯 Nisha’s spam spotter is 50% accurate. If it is tested on 40 new messages, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
40. 40.🎯 Ananya’s spam spotter was tested on 50 new messages and got 33 right. What is its accuracy in percent?

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