Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 387 · 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 — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
2. 2.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
3. 3.📋 Planning an AI project: which comes first — let it learn patterns or gather many examples? (a) let it learn patterns (b) gather many examples
4. 4.📦 Arjun collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.🎯 Meera’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
7. 7.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
8. 8.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
9. 9.🎯 Ishaan’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
12. 12.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
13. 13.📦 Aarav collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
14. 14.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
16. 16.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
17. 17.❌ Meera’s fruit sorter was tested on 48 new fruit photos and got 42 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
19. 19.📦 Kabir collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
21. 21.📦 Meera collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
23. 23.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
24. 24.🎯 Ananya’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
26. 26.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
28. 28.🎯 Aarav’s fruit sorter is 60% accurate. If it is tested on 40 new fruit photos, how many should it get right?
29. 29.🎯 Nisha’s leaf identifier is 90% accurate. If it is tested on 70 new leaf photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
31. 31.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
32. 32.🎯 Ishaan’s bird-song app is 50% accurate. If it is tested on 60 new bird songs, how many should it get right?
33. 33.🎯 Aarav’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
34. 34.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 14 right. How many percentage points more accurate is Model A?
35. 35.📋 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
36. 36.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
37. 37.🧪 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
38. 38.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 47 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
40. 40.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 20 new waste photos, how many should it get right?

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