Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 505 · 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.🧪 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 save paper (d) to make it faster
2. 2.📦 Vihaan collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
4. 4.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
5. 5.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
6. 6.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
7. 7.📋 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
8. 8.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
9. 9.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
10. 10.🎯 Ishaan’s fruit sorter was tested on 25 new fruit photos and got 16 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
12. 12.🎯 Ishaan’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
14. 14.❌ Aarav’s leaf identifier was tested on 20 new leaf photos and got 11 right. How many did it get wrong?
15. 15.🎯 Ishaan’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
17. 17.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
18. 18.🎯 Meera’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
19. 19.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
21. 21.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
22. 22.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
23. 23.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
24. 24.🎯 Aarav’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
25. 25.📦 Saanvi collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
27. 27.🎯 Ishaan’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
28. 28.🎯 Rohan’s spam spotter was tested on 50 new messages and got 31 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
30. 30.🎯 Vihaan’s fruit sorter was tested on 50 new fruit photos and got 46 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
32. 32.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
33. 33.🎯 Arjun’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
34. 34.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
35. 35.🎯 Meera’s handwriting reader is 50% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
36. 36.❌ Nisha’s fruit sorter was tested on 38 new fruit photos and got 37 right. How many did it get wrong?
37. 37.📦 Ishaan collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
39. 39.🎯 Ishaan’s leaf identifier is 80% accurate. If it is tested on 80 new leaf photos, how many should it get right?
40. 40.🎯 Tara’s leaf identifier is 80% accurate. If it is tested on 70 new leaf photos, how many should it get right?

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