Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 356 · 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) fewer examples (c) more labelled examples (d) a new colour screen
2. 2.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
3. 3.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 22 right and Model B got 17 right. How many percentage points more accurate is Model A?
4. 4.🎯 Diya’s handwriting reader is 60% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
6. 6.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
7. 7.📦 Nisha collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
8. 8.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 15 right and Model B got 10 right. How many percentage points more accurate is Model A?
9. 9.🧪 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
10. 10.📦 Tara collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
11. 11.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 34 right. What is its accuracy in percent?
12. 12.🎯 Arjun’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
14. 14.🎯 Meera’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
16. 16.🎯 Ishaan’s handwriting reader was tested on 50 new handwritten letters and got 39 right. What is its accuracy in percent?
17. 17.🎯 Saanvi’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
18. 18.📦 Aarav collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Rohan’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
21. 21.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
22. 22.🎯 Meera’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
24. 24.📦 Ananya collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
25. 25.📦 Vihaan collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
27. 27.🎯 Saanvi’s fruit sorter was tested on 25 new fruit photos and got 16 right. What is its accuracy in percent?
28. 28.❌ Aarav’s fruit sorter was tested on 46 new fruit photos and got 45 right. How many did it get wrong?
29. 29.📦 Ananya collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.❌ Tara’s handwriting reader was tested on 29 new handwritten letters and got 25 right. How many did it get wrong?
31. 31.🎯 Tara’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
32. 32.🎯 Meera’s handwriting reader was tested on 10 new handwritten letters and got 9 right. What is its accuracy in percent?
33. 33.🎯 Arjun’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
34. 34.🎯 Ishaan’s fruit sorter was tested on 20 new fruit photos and got 15 right. What is its accuracy in percent?
35. 35.🎯 Arjun’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
37. 37.❌ Meera’s bird-song app was tested on 34 new bird songs and got 31 right. How many did it get wrong?
38. 38.❌ Kabir’s recycling sorter was tested on 50 new waste photos and got 41 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
40. 40.📋 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

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