Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 483 · 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.🎯 Ishaan’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
2. 2.❌ Kabir’s fruit sorter was tested on 41 new fruit photos and got 34 right. How many did it get wrong?
3. 3.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
4. 4.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
5. 5.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
6. 6.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
7. 7.❌ Arjun’s spam spotter was tested on 12 new messages and got 10 right. How many did it get wrong?
8. 8.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
9. 9.📦 Meera collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
10. 10.❌ Saanvi’s spam spotter was tested on 48 new messages and got 46 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
12. 12.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
13. 13.🎯 Arjun’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
14. 14.❌ Tara’s handwriting reader was tested on 29 new handwritten letters and got 22 right. How many did it get wrong?
15. 15.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
17. 17.📦 Ananya collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.🎯 Ishaan’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
19. 19.📦 Saanvi collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.📦 Rohan collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
22. 22.📋 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
23. 23.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
24. 24.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
25. 25.❌ Kabir’s fruit sorter was tested on 17 new fruit photos and got 10 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
27. 27.📦 Kabir collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Nisha’s handwriting reader was tested on 25 new handwritten letters and got 16 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
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.🎯 Vihaan’s leaf identifier was tested on 25 new leaf photos and got 18 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
33. 33.📋 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
34. 34.🎯 Ananya’s spam spotter was tested on 20 new messages and got 14 right. What is its accuracy in percent?
35. 35.📦 Kabir collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Tara’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
38. 38.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
39. 39.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
40. 40.🎯 Rohan’s recycling sorter is 80% accurate. If it is tested on 100 new waste photos, how many should it get right?

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