Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 523 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
2. 2.📋 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
3. 3.📦 Rohan collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
4. 4.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
5. 5.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
6. 6.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
7. 7.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
8. 8.🎯 Nisha’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
9. 9.📦 Ishaan collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
11. 11.📦 Kabir collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
12. 12.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
13. 13.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
14. 14.📦 Aarav collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
16. 16.❌ Ishaan’s recycling sorter was tested on 48 new waste photos and got 45 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
18. 18.📦 Ishaan collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
20. 20.🎯 Nisha’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
21. 21.🎯 Tara’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
22. 22.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
23. 23.🎯 Ananya’s recycling sorter is 60% accurate. If it is tested on 50 new waste photos, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
25. 25.📦 Kabir collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
27. 27.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
28. 28.❌ Saanvi’s recycling sorter was tested on 32 new waste photos and got 23 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
30. 30.🎯 Ananya’s handwriting reader is 90% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
32. 32.🎯 Tara’s handwriting reader is 90% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
33. 33.📦 Kabir collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.📦 Kabir collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
35. 35.📦 Tara collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
37. 37.🎯 Arjun’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
39. 39.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
40. 40.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right

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