Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 452 · 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.❌ Arjun’s recycling sorter was tested on 45 new waste photos and got 41 right. How many did it get wrong?
2. 2.❌ Kabir’s recycling sorter was tested on 25 new waste photos and got 16 right. How many did it get wrong?
3. 3.📦 Ishaan collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
4. 4.🎯 Nisha’s spam spotter was tested on 50 new messages and got 50 right. What is its accuracy in percent?
5. 5.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
7. 7.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 14 right and Model B got 13 right. How many percentage points more accurate is Model A?
8. 8.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
9. 9.📦 Nisha collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
10. 10.❌ Rohan’s spam spotter was tested on 38 new messages and got 35 right. How many did it get wrong?
11. 11.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 49 right and Model B got 45 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
13. 13.🎯 Saanvi’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
15. 15.🎯 Saanvi’s leaf identifier is 70% accurate. If it is tested on 50 new leaf photos, how many should it get right?
16. 16.🎯 Ishaan’s fruit sorter is 80% accurate. If it is tested on 70 new fruit photos, how many should it get right?
17. 17.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 49 right and Model B got 40 right. How many percentage points more accurate is Model A?
18. 18.🧪 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
19. 19.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
20. 20.📦 Aarav 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.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 48 right and Model B got 44 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
23. 23.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
24. 24.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
25. 25.🎯 Meera’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
26. 26.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
27. 27.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
28. 28.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
29. 29.📦 Tara collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
30. 30.❌ Nisha’s fruit sorter was tested on 20 new fruit photos and got 12 right. How many did it get wrong?
31. 31.📋 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
32. 32.📦 Rohan collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
34. 34.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
36. 36.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
37. 37.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
38. 38.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
39. 39.🎯 Kabir’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right

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