Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 495 · 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 — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
2. 2.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
3. 3.🎯 Vihaan’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
4. 4.🎯 Tara’s handwriting reader was tested on 50 new handwritten letters and got 44 right. What is its accuracy in percent?
5. 5.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
6. 6.📦 Aarav collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
8. 8.🎯 Saanvi’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
9. 9.📦 Kabir collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
12. 12.🎯 Vihaan’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
13. 13.⚖️ 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?
14. 14.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
15. 15.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
16. 16.📦 Rohan collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
18. 18.📦 Saanvi collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Arjun’s spam spotter was tested on 50 new messages and got 35 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
21. 21.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
22. 22.📦 Tara collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
23. 23.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
24. 24.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
25. 25.❌ Rohan’s bird-song app was tested on 23 new bird songs and got 22 right. How many did it get wrong?
26. 26.❌ Ananya’s fruit sorter was tested on 41 new fruit photos and got 34 right. How many did it get wrong?
27. 27.🎯 Saanvi’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
28. 28.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
29. 29.📦 Nisha collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
31. 31.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
32. 32.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 11 right. How many percentage points more accurate is Model A?
33. 33.📦 Aarav collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
35. 35.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
36. 36.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
37. 37.❌ Saanvi’s spam spotter was tested on 44 new messages and got 43 right. How many did it get wrong?
38. 38.❌ Ishaan’s leaf identifier was tested on 37 new leaf photos and got 34 right. How many did it get wrong?
39. 39.❌ Ananya’s bird-song app was tested on 13 new bird songs and got 11 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right

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