Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 395 · 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.🧪 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
2. 2.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
3. 3.❌ Ananya’s bird-song app was tested on 50 new bird songs and got 46 right. How many did it get wrong?
4. 4.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
5. 5.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
6. 6.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
7. 7.❌ Ishaan’s spam spotter was tested on 50 new messages and got 45 right. How many did it get wrong?
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
9. 9.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
10. 10.📦 Aarav collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
11. 11.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
12. 12.🎯 Saanvi’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
13. 13.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 41 right and Model B got 40 right. How many percentage points more accurate is Model A?
14. 14.🎯 Rohan’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
16. 16.❌ Kabir’s spam spotter was tested on 19 new messages and got 17 right. How many did it get wrong?
17. 17.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 20 new fruit photos, how many should it get right?
18. 18.🎯 Arjun’s fruit sorter was tested on 25 new fruit photos and got 25 right. What is its accuracy in percent?
19. 19.🎯 Arjun’s handwriting reader was tested on 20 new handwritten letters and got 12 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
21. 21.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
23. 23.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
24. 24.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
25. 25.🎯 Ananya’s bird-song app was tested on 50 new bird songs and got 25 right. What is its accuracy in percent?
26. 26.🎯 Rohan’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
27. 27.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
28. 28.🎯 Saanvi’s bird-song app was tested on 25 new bird songs and got 23 right. What is its accuracy in percent?
29. 29.📦 Vihaan collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.📦 Saanvi collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
32. 32.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
34. 34.🎯 Tara’s bird-song app was tested on 50 new bird songs and got 28 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
36. 36.❌ Kabir’s fruit sorter was tested on 38 new fruit photos and got 35 right. How many did it get wrong?
37. 37.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
38. 38.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
39. 39.🎯 Meera’s spam spotter was tested on 50 new messages and got 26 right. What is its accuracy in percent?
40. 40.📋 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

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