Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 201 · 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 — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
2. 2.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
3. 3.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
4. 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
5. 5.🎯 Diya’s leaf identifier is 90% accurate. If it is tested on 10 new leaf photos, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
7. 7.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
8. 8.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
9. 9.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
10. 10.📋 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
11. 11.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 17 right and Model B got 11 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
13. 13.❌ Tara’s bird-song app was tested on 38 new bird songs and got 35 right. How many did it get wrong?
14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
15. 15.📦 Aarav collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
17. 17.🎯 Ishaan’s leaf identifier was tested on 50 new leaf photos and got 37 right. What is its accuracy in percent?
18. 18.🎯 Kabir’s spam spotter was tested on 25 new messages and got 15 right. What is its accuracy in percent?
19. 19.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 47 right and Model B got 45 right. How many percentage points more accurate is Model A?
20. 20.📦 Tara collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Aarav’s recycling sorter was tested on 25 new waste photos and got 15 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
23. 23.🎯 Kabir’s spam spotter was tested on 25 new messages and got 16 right. What is its accuracy in percent?
24. 24.🧪 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
25. 25.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
26. 26.❌ Saanvi’s spam spotter was tested on 48 new messages and got 47 right. How many did it get wrong?
27. 27.📦 Arjun collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
28. 28.❌ Kabir’s handwriting reader was tested on 18 new handwritten letters and got 14 right. How many did it get wrong?
29. 29.🎯 Tara’s spam spotter was tested on 20 new messages and got 12 right. What is its accuracy in percent?
30. 30.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
31. 31.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
32. 32.📋 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
33. 33.📦 Vihaan collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
34. 34.📦 Meera collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
36. 36.🎯 Ishaan’s bird-song app is 70% accurate. If it is tested on 60 new bird songs, how many should it get right?
37. 37.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
39. 39.📦 Aarav collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Meera’s leaf identifier is 60% accurate. If it is tested on 80 new leaf photos, how many should it get right?

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