Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 345 · 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.❌ Kabir’s recycling sorter was tested on 31 new waste photos and got 27 right. How many did it get wrong?
2. 2.🎯 Aarav’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
4. 4.🎯 Diya’s bird-song app was tested on 10 new bird songs and got 9 right. What is its accuracy in percent?
5. 5.❌ Aarav’s recycling sorter was tested on 48 new waste photos and got 39 right. How many did it get wrong?
6. 6.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
7. 7.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
8. 8.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
9. 9.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
11. 11.🎯 Tara’s leaf identifier is 60% accurate. If it is tested on 60 new leaf photos, how many should it get right?
12. 12.🎯 Aarav’s bird-song app is 90% 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 — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
14. 14.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
15. 15.🎯 Aarav’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
17. 17.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
18. 18.📋 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
19. 19.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
20. 20.🎯 Arjun’s recycling sorter was tested on 10 new waste photos and got 9 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
22. 22.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
23. 23.🎯 Saanvi’s bird-song app is 50% accurate. If it is tested on 30 new bird songs, how many should it get right?
24. 24.📋 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
25. 25.🎯 Vihaan’s fruit sorter was tested on 25 new fruit photos and got 15 right. What is its accuracy in percent?
26. 26.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
27. 27.📦 Tara collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Arjun’s handwriting reader was tested on 25 new handwritten letters and got 24 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
30. 30.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
31. 31.📦 Ishaan collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.❌ Nisha’s bird-song app was tested on 40 new bird songs and got 33 right. How many did it get wrong?
33. 33.❌ Kabir’s handwriting reader was tested on 41 new handwritten letters and got 33 right. How many did it get wrong?
34. 34.❌ Tara’s leaf identifier was tested on 47 new leaf photos and got 40 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
36. 36.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
37. 37.❌ Rohan’s fruit sorter was tested on 40 new fruit photos and got 34 right. How many did it get wrong?
38. 38.🎯 Aarav’s fruit sorter was tested on 25 new fruit photos and got 22 right. What is its accuracy in percent?
39. 39.❌ Nisha’s fruit sorter was tested on 23 new fruit photos and got 16 right. How many did it get wrong?
40. 40.🎯 Rohan’s recycling sorter is 90% accurate. If it is tested on 60 new waste photos, how many should it get right?

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