Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 487 · 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 — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
2. 2.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
3. 3.❌ Meera’s fruit sorter was tested on 17 new fruit photos and got 16 right. How many did it get wrong?
4. 4.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
5. 5.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
6. 6.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
8. 8.⚖️ 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?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
10. 10.🎯 Vihaan’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
11. 11.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 50 new waste photos, how many should it get right?
12. 12.❌ Meera’s fruit sorter was tested on 40 new fruit photos and got 35 right. How many did it get wrong?
13. 13.📋 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
14. 14.❌ Ananya’s leaf identifier was tested on 27 new leaf photos and got 25 right. How many did it get wrong?
15. 15.📦 Ishaan collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
16. 16.📦 Aarav collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
17. 17.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
18. 18.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
19. 19.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
20. 20.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
21. 21.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
22. 22.🎯 Meera’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
23. 23.🎯 Vihaan’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
24. 24.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
25. 25.🎯 Vihaan’s leaf identifier was tested on 20 new leaf photos and got 13 right. What is its accuracy in percent?
26. 26.🎯 Aarav’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
27. 27.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
29. 29.📦 Ishaan collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again
32. 32.📦 Vihaan collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
33. 33.❌ Ishaan’s leaf identifier was tested on 18 new leaf photos and got 12 right. How many did it get wrong?
34. 34.🎯 Ananya’s bird-song app was tested on 50 new bird songs and got 37 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
36. 36.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
37. 37.🎯 Ananya’s handwriting reader is 70% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — pick a question to solve or work out the accuracy? (a) pick a question to solve (b) work out the accuracy
39. 39.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
40. 40.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example

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