Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 818 · 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.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
2. 2.❌ Rohan’s bird-song app was tested on 50 new bird songs and got 43 right. How many did it get wrong?
3. 3.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
4. 4.📦 Ishaan collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.❌ Kabir’s fruit sorter was tested on 30 new fruit photos and got 24 right. How many did it get wrong?
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
9. 9.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
10. 10.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
11. 11.📦 Diya collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
12. 12.❌ Rohan’s fruit sorter was tested on 27 new fruit photos and got 19 right. How many did it get wrong?
13. 13.📋 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
14. 14.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
15. 15.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
16. 16.🎯 Ananya’s spam spotter is 60% accurate. If it is tested on 40 new messages, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
18. 18.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
19. 19.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
20. 20.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
21. 21.🎯 Vihaan’s bird-song app is 90% accurate. If it is tested on 90 new bird songs, how many should it get right?
22. 22.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
23. 23.❌ Rohan’s recycling sorter was tested on 41 new waste photos and got 40 right. How many did it get wrong?
24. 24.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
25. 25.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
26. 26.❌ Rohan’s handwriting reader was tested on 38 new handwritten letters and got 34 right. How many did it get wrong?
27. 27.📦 Saanvi collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
29. 29.🎯 Vihaan’s leaf identifier was tested on 50 new leaf photos and got 31 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
31. 31.📋 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
32. 32.🎯 Kabir’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
34. 34.📋 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
35. 35.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
36. 36.🎯 Nisha’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
37. 37.📦 Tara collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
39. 39.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
40. 40.🎯 Aarav’s bird-song app is 90% accurate. If it is tested on 50 new bird songs, how many should it get right?

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