Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 108 · 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 collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
2. 2.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 11 right. How many percentage points more accurate is Model A?
3. 3.❌ Aarav’s fruit sorter was tested on 49 new fruit photos and got 41 right. How many did it get wrong?
4. 4.🎯 Ishaan’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
5. 5.🎯 Diya’s bird-song app is 70% accurate. If it is tested on 70 new bird songs, how many should it get right?
6. 6.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 21 right and Model B got 14 right. How many percentage points more accurate is Model A?
7. 7.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
8. 8.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
9. 9.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
10. 10.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
11. 11.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
12. 12.🎯 Ananya’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
14. 14.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
17. 17.🧪 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
18. 18.📦 Rohan collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
20. 20.🎯 Tara’s recycling sorter is 90% accurate. If it is tested on 70 new waste photos, how many should it get right?
21. 21.🎯 Rohan’s bird-song app is 50% accurate. If it is tested on 70 new bird songs, how many should it get right?
22. 22.🎯 Meera’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
23. 23.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
24. 24.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
25. 25.🎯 Tara’s recycling sorter was tested on 20 new waste photos and got 16 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
27. 27.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
28. 28.📋 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
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
30. 30.🎯 Saanvi’s leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
31. 31.🎯 Arjun’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
32. 32.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
34. 34.📦 Rohan collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
36. 36.🎯 Kabir’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
37. 37.❌ Ishaan’s recycling sorter was tested on 22 new waste photos and got 18 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
39. 39.🎯 Ishaan’s leaf identifier was tested on 50 new leaf photos and got 26 right. What is its accuracy in percent?
40. 40.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?

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