Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 711 · 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 − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
2. 2.❌ Saanvi’s fruit sorter was tested on 39 new fruit photos and got 33 right. How many did it get wrong?
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
4. 4.🎯 Nisha’s spam spotter was tested on 50 new messages and got 29 right. What is its accuracy in percent?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
6. 6.📋 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
7. 7.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
8. 8.📦 Kabir collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
11. 11.📦 Ishaan collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
13. 13.📦 Ananya collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Vihaan’s fruit sorter was tested on 25 new fruit photos and got 14 right. What is its accuracy in percent?
15. 15.❌ Aarav’s handwriting reader was tested on 35 new handwritten letters and got 33 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
17. 17.📦 Diya collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.🎯 Diya’s recycling sorter was tested on 25 new waste photos and got 15 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
20. 20.🎯 Rohan’s fruit sorter is 90% accurate. If it is tested on 90 new fruit photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
22. 22.🎯 Saanvi’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
23. 23.🎯 Ishaan’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
24. 24.🎯 Kabir’s bird-song app is 90% accurate. If it is tested on 30 new bird songs, how many should it get right?
25. 25.📦 Ananya collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
26. 26.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
28. 28.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 8 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
30. 30.❌ Aarav’s fruit sorter was tested on 29 new fruit photos and got 23 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
32. 32.🎯 Tara’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
34. 34.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 18 right. How many percentage points more accurate is Model A?
35. 35.🎯 Rohan’s recycling sorter was tested on 50 new waste photos and got 35 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
37. 37.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
38. 38.📋 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
39. 39.🎯 Vihaan’s bird-song app is 50% accurate. If it is tested on 90 new bird songs, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest

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