Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 759 · 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.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
2. 2.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
3. 3.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
4. 4.🎯 Aarav’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
5. 5.❌ Nisha’s fruit sorter was tested on 31 new fruit photos and got 27 right. How many did it get wrong?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
7. 7.🎯 Tara’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
8. 8.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 17 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
10. 10.🎯 Vihaan’s recycling sorter is 90% accurate. If it is tested on 60 new waste photos, how many should it get right?
11. 11.🎯 Diya’s bird-song app is 80% accurate. If it is tested on 100 new bird songs, how many should it get right?
12. 12.🎯 Meera’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
13. 13.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
14. 14.🎯 Diya’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
15. 15.🎯 Kabir’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
17. 17.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
18. 18.❌ Ishaan’s handwriting reader was tested on 24 new handwritten letters and got 17 right. How many did it get wrong?
19. 19.🎯 Diya’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
21. 21.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
22. 22.📦 Saanvi collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
23. 23.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 43 right and Model B got 32 right. How many percentage points more accurate is Model A?
24. 24.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
25. 25.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
26. 26.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
27. 27.❌ Diya’s leaf identifier was tested on 13 new leaf photos and got 11 right. How many did it get wrong?
28. 28.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 70 new waste photos, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
30. 30.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
31. 31.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
32. 32.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
33. 33.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
34. 34.🎯 Ananya’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
36. 36.📦 Ishaan collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
38. 38.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
39. 39.🎯 Aarav’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
40. 40.🎯 Saanvi’s recycling sorter was tested on 50 new waste photos and got 42 right. What is its accuracy in percent?

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