Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 127 · 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.📦 Rohan collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
3. 3.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 10 right. How many percentage points more accurate is Model A?
4. 4.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
5. 5.📦 Ishaan collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
6. 6.📦 Rohan collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
7. 7.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
8. 8.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
10. 10.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
11. 11.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 35 right and Model B got 27 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
13. 13.❌ Arjun’s spam spotter was tested on 40 new messages and got 35 right. How many did it get wrong?
14. 14.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
15. 15.❌ Vihaan’s fruit sorter was tested on 22 new fruit photos and got 21 right. How many did it get wrong?
16. 16.❌ Kabir’s spam spotter was tested on 50 new messages and got 48 right. How many did it get wrong?
17. 17.🎯 Aarav’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
18. 18.🎯 Kabir’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
19. 19.❌ Aarav’s recycling sorter was tested on 33 new waste photos and got 24 right. How many did it get wrong?
20. 20.🎯 Arjun’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
22. 22.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
23. 23.❌ Arjun’s leaf identifier was tested on 27 new leaf photos and got 25 right. How many did it get wrong?
24. 24.📦 Rohan collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Meera’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
26. 26.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
28. 28.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
29. 29.🎯 Arjun’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
31. 31.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
32. 32.🎯 Saanvi’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
34. 34.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
35. 35.❌ Rohan’s fruit sorter was tested on 50 new fruit photos and got 41 right. How many did it get wrong?
36. 36.❌ Tara’s leaf identifier was tested on 43 new leaf photos and got 41 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
38. 38.❌ Aarav’s spam spotter was tested on 46 new messages and got 45 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
40. 40.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 41 right and Model B got 37 right. How many percentage points more accurate is Model A?

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