Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 722 · 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 — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
2. 2.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
3. 3.🎯 Diya’s handwriting reader was tested on 20 new handwritten letters and got 13 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
5. 5.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
6. 6.🧪 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
7. 7.🎯 Saanvi’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
8. 8.📦 Vihaan collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.⚖️ 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?
10. 10.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
11. 11.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
13. 13.❌ Saanvi’s leaf identifier was tested on 23 new leaf photos and got 15 right. How many did it get wrong?
14. 14.🎯 Vihaan’s handwriting reader was tested on 50 new handwritten letters and got 31 right. What is its accuracy in percent?
15. 15.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
16. 16.❌ Ishaan’s leaf identifier was tested on 23 new leaf photos and got 16 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
18. 18.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
19. 19.🎯 Diya’s leaf identifier is 70% accurate. If it is tested on 90 new leaf photos, how many should it get right?
20. 20.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
21. 21.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
22. 22.🎯 Kabir’s handwriting reader was tested on 50 new handwritten letters and got 38 right. What is its accuracy in percent?
23. 23.📦 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?
24. 24.🎯 Rohan’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
25. 25.📋 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
26. 26.🎯 Rohan’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
28. 28.📋 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
29. 29.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
30. 30.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
31. 31.🎯 Meera’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
33. 33.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
34. 34.❌ Ananya’s leaf identifier was tested on 50 new leaf photos and got 41 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
36. 36.📦 Nisha collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
38. 38.❌ Aarav’s recycling sorter was tested on 49 new waste photos and got 48 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
40. 40.📦 Arjun collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

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