Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 641 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
2. 2.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
3. 3.📦 Vihaan collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
4. 4.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
5. 5.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
6. 6.❌ Aarav’s recycling sorter was tested on 16 new waste photos and got 14 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
8. 8.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
9. 9.📦 Meera collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
11. 11.🎯 Ananya’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
12. 12.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
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.📦 Aarav collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
16. 16.❌ Aarav’s spam spotter was tested on 20 new messages and got 17 right. How many did it get wrong?
17. 17.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
18. 18.🎯 Arjun’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
19. 19.📦 Meera collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
21. 21.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
22. 22.🎯 Saanvi’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
23. 23.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
24. 24.📋 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
25. 25.❌ Meera’s bird-song app was tested on 26 new bird songs and got 17 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
27. 27.🎯 Nisha’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
28. 28.🎯 Nisha’s handwriting reader was tested on 50 new handwritten letters and got 28 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
30. 30.📦 Meera collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
32. 32.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
33. 33.📦 Arjun collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
35. 35.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
36. 36.❌ Ananya’s leaf identifier was tested on 29 new leaf photos and got 27 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
38. 38.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
39. 39.🎯 Vihaan’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
40. 40.🎯 Tara’s bird-song app was tested on 20 new bird songs and got 16 right. What is its accuracy in percent?

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