Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 753 · 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.❌ Meera’s bird-song app was tested on 31 new bird songs and got 26 right. How many did it get wrong?
2. 2.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
3. 3.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
4. 4.❌ Rohan’s handwriting reader was tested on 27 new handwritten letters and got 22 right. How many did it get wrong?
5. 5.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 43 right and Model B got 31 right. How many percentage points more accurate is Model A?
6. 6.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
8. 8.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
9. 9.❌ Arjun’s recycling sorter was tested on 33 new waste photos and got 24 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
11. 11.🎯 Diya’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
13. 13.🎯 Rohan’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
14. 14.❌ Arjun’s handwriting reader was tested on 41 new handwritten letters and got 34 right. How many did it get wrong?
15. 15.📦 Ananya collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
17. 17.❌ Meera’s handwriting reader was tested on 19 new handwritten letters and got 17 right. How many did it get wrong?
18. 18.🧪 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
19. 19.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
20. 20.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
21. 21.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
22. 22.📦 Diya collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
23. 23.📦 Aarav collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
25. 25.📦 Meera collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.🎯 Rohan’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
28. 28.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
29. 29.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
30. 30.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
31. 31.📦 Nisha collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
33. 33.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
34. 34.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
36. 36.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 19 right. How many percentage points more accurate is Model A?
37. 37.🎯 Nisha’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
38. 38.🎯 Ishaan’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
39. 39.❌ Vihaan’s recycling sorter was tested on 24 new waste photos and got 21 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test

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