Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 738 · 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 — recheck every label or label each example? (a) recheck every label (b) label each example
2. 2.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
3. 3.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
5. 5.🎯 Kabir’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
7. 7.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
9. 9.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
10. 10.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
11. 11.❌ Rohan’s recycling sorter was tested on 31 new waste photos and got 30 right. How many did it get wrong?
12. 12.🎯 Tara’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
14. 14.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 17 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
16. 16.❌ Meera’s recycling sorter was tested on 41 new waste photos and got 35 right. How many did it get wrong?
17. 17.❌ Tara’s recycling sorter was tested on 31 new waste photos and got 25 right. How many did it get wrong?
18. 18.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
19. 19.🎯 Ishaan’s leaf identifier was tested on 25 new leaf photos and got 21 right. What is its accuracy in percent?
20. 20.📦 Meera collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Nisha’s spam spotter was tested on 25 new messages and got 19 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
23. 23.❌ Ananya’s bird-song app was tested on 21 new bird songs and got 17 right. How many did it get wrong?
24. 24.📦 Rohan collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
25. 25.📦 Ananya collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.❌ Diya’s handwriting reader was tested on 15 new handwritten letters and got 14 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
28. 28.❌ Tara’s fruit sorter was tested on 49 new fruit photos and got 40 right. How many did it get wrong?
29. 29.🎯 Saanvi’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
30. 30.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
31. 31.❌ Tara’s spam spotter was tested on 22 new messages and got 17 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
33. 33.🎯 Nisha’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
34. 34.📦 Arjun collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 32 right and Model B got 26 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
37. 37.🎯 Ishaan’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
38. 38.🎯 Arjun’s leaf identifier is 70% accurate. If it is tested on 40 new leaf photos, how many should it get right?
39. 39.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
40. 40.📋 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

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