Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 808 · 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.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
2. 2.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
4. 4.🎯 Rohan’s recycling sorter is 90% accurate. If it is tested on 40 new waste photos, how many should it get right?
5. 5.🎯 Ananya’s handwriting reader was tested on 25 new handwritten letters and got 18 right. What is its accuracy in percent?
6. 6.❌ Ananya’s leaf identifier was tested on 27 new leaf photos and got 24 right. How many did it get wrong?
7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
8. 8.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
9. 9.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
10. 10.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
11. 11.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
12. 12.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
13. 13.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
14. 14.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 37 right and Model B got 26 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
16. 16.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
17. 17.🧪 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
18. 18.🎯 Aarav’s leaf identifier was tested on 20 new leaf photos and got 20 right. What is its accuracy in percent?
19. 19.📋 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
20. 20.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
21. 21.❌ Rohan’s fruit sorter was tested on 33 new fruit photos and got 30 right. How many did it get wrong?
22. 22.📋 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
23. 23.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
24. 24.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
25. 25.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 90 new waste photos, how many should it get right?
26. 26.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 41 right and Model B got 35 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
28. 28.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 45 right and Model B got 29 right. How many percentage points more accurate is Model A?
29. 29.🎯 Kabir’s fruit sorter was tested on 25 new fruit photos and got 20 right. What is its accuracy in percent?
30. 30.🎯 Aarav’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
31. 31.❌ Ananya’s bird-song app was tested on 16 new bird songs and got 10 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
33. 33.❌ Tara’s handwriting reader was tested on 35 new handwritten letters and got 32 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
35. 35.📦 Arjun collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
37. 37.🎯 Vihaan’s recycling sorter was tested on 50 new waste photos and got 43 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
39. 39.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 13 right. How many percentage points more accurate is Model A?
40. 40.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 47 right and Model B got 46 right. How many percentage points more accurate is Model A?

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