Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 637 · 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.❌ Rohan’s leaf identifier was tested on 50 new leaf photos and got 45 right. How many did it get wrong?
2. 2.🎯 Diya’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
4. 4.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
5. 5.📦 Ishaan collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
6. 6.🧪 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
7. 7.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
8. 8.❌ Diya’s bird-song app was tested on 24 new bird songs and got 15 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
10. 10.🎯 Ananya’s recycling sorter was tested on 25 new waste photos and got 19 right. What is its accuracy in percent?
11. 11.🎯 Tara’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
13. 13.📦 Meera collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.❌ Diya’s handwriting reader was tested on 21 new handwritten letters and got 12 right. How many did it get wrong?
15. 15.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 49 right and Model B got 48 right. How many percentage points more accurate is Model A?
16. 16.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
17. 17.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
18. 18.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
19. 19.🎯 Vihaan’s leaf identifier is 60% accurate. If it is tested on 80 new leaf photos, how many should it get right?
20. 20.📦 Vihaan collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
22. 22.❌ Kabir’s handwriting reader was tested on 45 new handwritten letters and got 38 right. How many did it get wrong?
23. 23.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
24. 24.📦 Nisha collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
26. 26.❌ Aarav’s recycling sorter was tested on 27 new waste photos and got 21 right. How many did it get wrong?
27. 27.❌ Ishaan’s fruit sorter was tested on 38 new fruit photos and got 31 right. How many did it get wrong?
28. 28.🎯 Rohan’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
29. 29.❌ Tara’s bird-song app was tested on 20 new bird songs and got 19 right. How many did it get wrong?
30. 30.🎯 Aarav’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
32. 32.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
33. 33.📋 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
34. 34.🎯 Diya’s bird-song app was tested on 20 new bird songs and got 17 right. What is its accuracy in percent?
35. 35.❌ Arjun’s handwriting reader was tested on 25 new handwritten letters and got 17 right. How many did it get wrong?
36. 36.❌ Nisha’s fruit sorter was tested on 26 new fruit photos and got 19 right. How many did it get wrong?
37. 37.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 34 right and Model B got 33 right. How many percentage points more accurate is Model A?
38. 38.📦 Aarav collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Kabir’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
40. 40.🎯 Aarav’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?

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