Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 864 · 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.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
2. 2.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
3. 3.🎯 Kabir’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
5. 5.❌ Rohan’s handwriting reader was tested on 37 new handwritten letters and got 29 right. How many did it get wrong?
6. 6.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 12 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
8. 8.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
9. 9.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
11. 11.📦 Nisha collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
13. 13.🎯 Meera’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
14. 14.🎯 Meera’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
15. 15.🎯 Aarav’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
16. 16.📦 Rohan collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.📦 Tara collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.🎯 Saanvi’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
19. 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
20. 20.🎯 Vihaan’s handwriting reader was tested on 25 new handwritten letters and got 17 right. What is its accuracy in percent?
21. 21.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
22. 22.🎯 Ananya’s recycling sorter was tested on 25 new waste photos and got 25 right. What is its accuracy in percent?
23. 23.📦 Nisha collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.📦 Kabir collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
26. 26.🎯 Aarav’s handwriting reader is 90% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
27. 27.🎯 Arjun’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
28. 28.🎯 Nisha’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
29. 29.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
30. 30.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
31. 31.📋 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
32. 32.🎯 Aarav’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
34. 34.🎯 Ishaan’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
35. 35.📦 Rohan collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
36. 36.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 11 right. How many percentage points more accurate is Model A?
37. 37.🎯 Nisha’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
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.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
40. 40.🎯 Arjun’s handwriting reader was tested on 10 new handwritten letters and got 10 right. What is its accuracy in percent?

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