Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 884 · 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.❌ Kabir’s handwriting reader was tested on 31 new handwritten letters and got 30 right. How many did it get wrong?
2. 2.🎯 Meera’s spam spotter is 50% accurate. If it is tested on 40 new messages, how many should it get right?
3. 3.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
4. 4.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
5. 5.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
7. 7.📦 Tara collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 40 new bird songs, how many should it get right?
9. 9.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
10. 10.🎯 Kabir’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
11. 11.🎯 Arjun’s handwriting reader is 80% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
13. 13.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
14. 14.🎯 Ananya’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
15. 15.❌ Ishaan’s fruit sorter was tested on 14 new fruit photos and got 12 right. How many did it get wrong?
16. 16.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
17. 17.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 50 right and Model B got 46 right. How many percentage points more accurate is Model A?
18. 18.❌ Ishaan’s leaf identifier was tested on 49 new leaf photos and got 48 right. How many did it get wrong?
19. 19.❌ Saanvi’s bird-song app was tested on 47 new bird songs and got 45 right. How many did it get wrong?
20. 20.🎯 Tara’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
21. 21.📦 Saanvi collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
23. 23.📦 Saanvi collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
25. 25.📦 Diya collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
27. 27.🎯 Arjun’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
28. 28.🎯 Aarav’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
29. 29.📦 Saanvi collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
31. 31.📦 Meera collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
33. 33.📋 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
34. 34.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
35. 35.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
36. 36.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
37. 37.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
38. 38.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
39. 39.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
40. 40.🎯 Ishaan’s bird-song app is 80% accurate. If it is tested on 20 new bird songs, how many should it get right?

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