Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 17 · 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.❌ Arjun’s bird-song app was tested on 18 new bird songs and got 14 right. How many did it get wrong?
2. 2.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
4. 4.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
5. 5.🎯 Arjun’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
7. 7.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
8. 8.📦 Saanvi collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
10. 10.📋 Planning an AI project: which comes first — pick a question to solve or work out the accuracy? (a) pick a question to solve (b) work out the accuracy
11. 11.🎯 Diya’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
12. 12.🎯 Meera’s handwriting reader is 70% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
13. 13.🎯 Ananya’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
14. 14.❌ Aarav’s recycling sorter was tested on 20 new waste photos and got 14 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
16. 16.🎯 Ishaan’s leaf identifier was tested on 50 new leaf photos and got 27 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
18. 18.📦 Aarav collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
20. 20.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
22. 22.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
24. 24.🎯 Meera’s bird-song app was tested on 20 new bird songs and got 12 right. What is its accuracy in percent?
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.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
27. 27.🎯 Arjun’s bird-song app is 80% accurate. If it is tested on 10 new bird songs, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
29. 29.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
31. 31.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 14 right and Model B got 12 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
33. 33.🎯 Arjun’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
34. 34.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
35. 35.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 20 new bird songs, how many should it get right?
36. 36.🎯 Ananya’s fruit sorter was tested on 25 new fruit photos and got 20 right. What is its accuracy in percent?
37. 37.🎯 Diya’s recycling sorter was tested on 20 new waste photos and got 20 right. What is its accuracy in percent?
38. 38.🎯 Rohan’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
40. 40.❌ Tara’s spam spotter was tested on 23 new messages and got 18 right. How many did it get wrong?

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