Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 555 · 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 — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
3. 3.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
4. 4.🎯 Ananya’s spam spotter is 80% accurate. If it is tested on 40 new messages, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
6. 6.🎯 Vihaan’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
7. 7.❌ Rohan’s leaf identifier was tested on 50 new leaf photos and got 43 right. How many did it get wrong?
8. 8.❌ Aarav’s fruit sorter was tested on 21 new fruit photos and got 14 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
10. 10.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
11. 11.🎯 Aarav’s recycling sorter is 60% accurate. If it is tested on 20 new waste photos, how many should it get right?
12. 12.🎯 Nisha’s recycling sorter was tested on 50 new waste photos and got 26 right. What is its accuracy in percent?
13. 13.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
14. 14.🎯 Ishaan’s bird-song app is 90% accurate. If it is tested on 60 new bird songs, how many should it get right?
15. 15.🎯 Rohan’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
17. 17.📋 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
18. 18.❌ Aarav’s spam spotter was tested on 23 new messages and got 21 right. How many did it get wrong?
19. 19.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 46 right. What is its accuracy in percent?
20. 20.🎯 Vihaan’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
21. 21.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 21 right. How many percentage points more accurate is Model A?
22. 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
23. 23.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
24. 24.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
25. 25.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
26. 26.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
27. 27.📦 Arjun collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
29. 29.❌ Arjun’s fruit sorter was tested on 14 new fruit photos and got 11 right. How many did it get wrong?
30. 30.📋 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
31. 31.📦 Tara collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
32. 32.🧪 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
33. 33.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
34. 34.📦 Kabir collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
35. 35.❌ Diya’s handwriting reader was tested on 36 new handwritten letters and got 33 right. How many did it get wrong?
36. 36.📦 Diya collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
38. 38.📦 Ishaan collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Rohan’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos

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