Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 384 · 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 — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
2. 2.📦 Aarav collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
3. 3.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 13 right. How many percentage points more accurate is Model A?
4. 4.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
5. 5.🎯 Diya’s fruit sorter was tested on 20 new fruit photos and got 10 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
7. 7.🎯 Saanvi’s fruit sorter was tested on 25 new fruit photos and got 23 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
9. 9.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
10. 10.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
11. 11.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
12. 12.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples
13. 13.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
14. 14.🎯 Arjun’s recycling sorter is 60% accurate. If it is tested on 50 new waste photos, how many should it get right?
15. 15.🎯 Meera’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
17. 17.🎯 Ishaan’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
18. 18.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
19. 19.🎯 Ananya’s spam spotter is 80% accurate. If it is tested on 20 new messages, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
21. 21.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
22. 22.🎯 Ishaan’s recycling sorter was tested on 20 new waste photos and got 11 right. What is its accuracy in percent?
23. 23.📦 Ishaan collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
25. 25.🎯 Arjun’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
26. 26.📦 Tara collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
27. 27.❌ Diya’s bird-song app was tested on 42 new bird songs and got 37 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
29. 29.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
30. 30.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
31. 31.📦 Aarav collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
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.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
36. 36.🎯 Ananya’s bird-song app was tested on 25 new bird songs and got 18 right. What is its accuracy in percent?
37. 37.❌ Tara’s spam spotter was tested on 49 new messages and got 46 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
39. 39.🎯 Ananya’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
40. 40.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?

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