Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 522 · 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 — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
2. 2.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
3. 3.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
4. 4.🎯 Diya’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
6. 6.❌ Meera’s spam spotter was tested on 41 new messages and got 32 right. How many did it get wrong?
7. 7.❌ Ananya’s fruit sorter was tested on 19 new fruit photos and got 11 right. How many did it get wrong?
8. 8.❌ Tara’s fruit sorter was tested on 49 new fruit photos and got 45 right. How many did it get wrong?
9. 9.🎯 Ishaan’s leaf identifier is 60% accurate. If it is tested on 80 new leaf photos, how many should it get right?
10. 10.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
11. 11.❌ Diya’s bird-song app was tested on 37 new bird songs and got 30 right. How many did it get wrong?
12. 12.📦 Arjun collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
14. 14.🎯 Vihaan’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
15. 15.🎯 Diya’s fruit sorter is 50% accurate. If it is tested on 90 new fruit photos, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
17. 17.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
18. 18.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
19. 19.🎯 Ananya’s recycling sorter is 80% accurate. If it is tested on 60 new waste photos, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
21. 21.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 22 right. How many percentage points more accurate is Model A?
22. 22.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
23. 23.📦 Diya collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
24. 24.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
25. 25.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
26. 26.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
27. 27.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
29. 29.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
30. 30.🎯 Tara’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
31. 31.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
32. 32.❌ Kabir’s recycling sorter was tested on 25 new waste photos and got 18 right. How many did it get wrong?
33. 33.🎯 Saanvi’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
35. 35.📋 Planning an AI project: which comes first — let it learn patterns or choose what to sort? (a) let it learn patterns (b) choose what to sort
36. 36.📦 Aarav collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 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
38. 38.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 13 right. What is its accuracy in percent?
39. 39.🎯 Vihaan’s handwriting reader is 70% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
40. 40.📦 Rohan collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

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