Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 936 · 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.🎯 Nisha’s spam spotter is 60% accurate. If it is tested on 40 new messages, how many should it get right?
2. 2.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
3. 3.🧪 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 bigger (d) to make it faster
4. 4.❌ Nisha’s recycling sorter was tested on 30 new waste photos and got 27 right. How many did it get wrong?
5. 5.🎯 Meera’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
6. 6.🧪 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
7. 7.📦 Ananya collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Nisha’s bird-song app was tested on 50 new bird songs and got 29 right. What is its accuracy in percent?
9. 9.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 44 right and Model B got 42 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
11. 11.🎯 Aarav’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
12. 12.🎯 Kabir’s handwriting reader was tested on 50 new handwritten letters and got 49 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
14. 14.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
15. 15.🧪 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
16. 16.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
17. 17.❌ Tara’s bird-song app was tested on 30 new bird songs and got 21 right. How many did it get wrong?
18. 18.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
19. 19.📦 Rohan collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.❌ Kabir’s recycling sorter was tested on 25 new waste photos and got 21 right. How many did it get wrong?
21. 21.🎯 Arjun’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
23. 23.❌ Saanvi’s leaf identifier was tested on 28 new leaf photos and got 21 right. How many did it get wrong?
24. 24.🎯 Nisha’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
25. 25.❌ Meera’s handwriting reader was tested on 39 new handwritten letters and got 31 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
27. 27.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
28. 28.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 41 right and Model B got 26 right. How many percentage points more accurate is Model A?
29. 29.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
31. 31.❌ Diya’s recycling sorter was tested on 33 new waste photos and got 25 right. How many did it get wrong?
32. 32.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 11 right and Model B got 10 right. How many percentage points more accurate is Model A?
33. 33.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 70 new fruit photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
35. 35.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
36. 36.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
37. 37.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 38 right and Model B got 30 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
39. 39.📋 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
40. 40.🎯 Ishaan’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?

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