Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 582 · 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 — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
2. 2.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 33 right. What is its accuracy in percent?
3. 3.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 13 right and Model B got 11 right. How many percentage points more accurate is Model A?
4. 4.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
5. 5.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
7. 7.📦 Aarav collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
9. 9.🎯 Saanvi’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
11. 11.📦 Meera collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Ananya’s bird-song app is 60% accurate. If it is tested on 40 new bird songs, how many should it get right?
13. 13.📋 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
14. 14.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
16. 16.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 16 right and Model B got 13 right. How many percentage points more accurate is Model A?
17. 17.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
19. 19.🎯 Rohan’s recycling sorter is 90% accurate. If it is tested on 20 new waste photos, how many should it get right?
20. 20.🎯 Nisha’s bird-song app was tested on 50 new bird songs and got 44 right. What is its accuracy in percent?
21. 21.🎯 Kabir’s bird-song app is 80% accurate. If it is tested on 20 new bird songs, how many should it get right?
22. 22.📋 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
23. 23.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
24. 24.📦 Aarav collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
26. 26.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
27. 27.📦 Diya collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Diya’s bird-song app is 50% accurate. If it is tested on 100 new bird songs, how many should it get right?
29. 29.❌ Saanvi’s spam spotter was tested on 31 new messages and got 23 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
31. 31.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
33. 33.❌ Arjun’s recycling sorter was tested on 17 new waste photos and got 16 right. How many did it get wrong?
34. 34.📦 Nisha collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
35. 35.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
36. 36.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
37. 37.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 50 new fruit photos, how many should it get right?
38. 38.📦 Arjun collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
40. 40.🎯 Aarav’s bird-song app was tested on 25 new bird songs and got 15 right. What is its accuracy in percent?

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