Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 72 · 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.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
2. 2.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
3. 3.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 15 right. How many percentage points more accurate is Model A?
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
5. 5.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
6. 6.🎯 Rohan’s bird-song app was tested on 10 new bird songs and got 8 right. What is its accuracy in percent?
7. 7.📦 Aarav collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
8. 8.📦 Arjun collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
10. 10.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
12. 12.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
13. 13.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
14. 14.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 40 right and Model B got 31 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
16. 16.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
18. 18.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
19. 19.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
20. 20.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
21. 21.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 50 new waste photos, how many should it get right?
22. 22.❌ Ishaan’s fruit sorter was tested on 34 new fruit photos and got 31 right. How many did it get wrong?
23. 23.❌ Kabir’s spam spotter was tested on 36 new messages and got 31 right. How many did it get wrong?
24. 24.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 13 right and Model B got 12 right. How many percentage points more accurate is Model A?
25. 25.🎯 Rohan’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
27. 27.📦 Vihaan collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
28. 28.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
29. 29.🎯 Nisha’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
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.📦 Ananya collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Aarav’s handwriting reader was tested on 25 new handwritten letters and got 13 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
34. 34.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
35. 35.🎯 Kabir’s bird-song app was tested on 20 new bird songs and got 14 right. What is its accuracy in percent?
36. 36.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
37. 37.❌ Nisha’s spam spotter was tested on 26 new messages and got 18 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
39. 39.❌ Nisha’s spam spotter was tested on 38 new messages and got 37 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest

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