Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 351 · 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 × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
2. 2.🎯 Diya’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
3. 3.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
4. 4.🎯 Aarav’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
5. 5.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
7. 7.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
8. 8.🎯 Nisha’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
9. 9.🎯 Rohan’s handwriting reader is 60% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
10. 10.📦 Meera collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
11. 11.🎯 Aarav’s bird-song app was tested on 50 new bird songs and got 29 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
13. 13.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
15. 15.🎯 Rohan’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
16. 16.🧪 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
17. 17.🎯 Meera’s handwriting reader is 60% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
18. 18.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
19. 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
20. 20.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
21. 21.📋 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
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
23. 23.📦 Aarav collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
25. 25.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
26. 26.📦 Diya collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
28. 28.❌ Kabir’s spam spotter was tested on 32 new messages and got 27 right. How many did it get wrong?
29. 29.❌ Rohan’s spam spotter was tested on 25 new messages and got 17 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
31. 31.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
33. 33.📦 Tara collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
35. 35.📦 Ananya collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Ishaan’s handwriting reader is 60% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
37. 37.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
38. 38.📦 Arjun collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 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
40. 40.🎯 Meera’s leaf identifier was tested on 50 new leaf photos and got 31 right. What is its accuracy in percent?

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