Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 196 · 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 — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
2. 2.🎯 Vihaan’s bird-song app is 50% accurate. If it is tested on 100 new bird songs, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
4. 4.🎯 Saanvi’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
5. 5.❌ Meera’s leaf identifier was tested on 46 new leaf photos and got 45 right. How many did it get wrong?
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
7. 7.📋 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
8. 8.🎯 Saanvi’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
9. 9.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
10. 10.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
11. 11.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
12. 12.📦 Tara collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
14. 14.❌ Diya’s bird-song app was tested on 13 new bird songs and got 12 right. How many did it get wrong?
15. 15.🎯 Ishaan’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
17. 17.🎯 Kabir’s spam spotter was tested on 25 new messages and got 21 right. What is its accuracy in percent?
18. 18.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
19. 19.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
20. 20.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
21. 21.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
22. 22.🎯 Kabir’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?
23. 23.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
24. 24.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
25. 25.🎯 Tara’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
26. 26.🎯 Ananya’s recycling sorter was tested on 50 new waste photos and got 32 right. What is its accuracy in percent?
27. 27.🎯 Ishaan’s recycling sorter was tested on 25 new waste photos and got 17 right. What is its accuracy in percent?
28. 28.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
29. 29.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
30. 30.❌ Tara’s fruit sorter was tested on 23 new fruit photos and got 19 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
32. 32.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
33. 33.🎯 Rohan’s recycling sorter was tested on 50 new waste photos and got 31 right. What is its accuracy in percent?
34. 34.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
36. 36.🎯 Vihaan’s handwriting reader is 60% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
37. 37.🎯 Diya’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
39. 39.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
40. 40.❌ Tara’s recycling sorter was tested on 23 new waste photos and got 17 right. How many did it get wrong?

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