Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 6 · 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.❌ Nisha’s leaf identifier was tested on 42 new leaf photos and got 40 right. How many did it get wrong?
2. 2.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
3. 3.🎯 Ishaan’s spam spotter is 80% accurate. If it is tested on 100 new messages, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
6. 6.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
7. 7.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 15 right. How many percentage points more accurate is Model A?
8. 8.❌ Aarav’s handwriting reader was tested on 50 new handwritten letters and got 44 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
10. 10.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
11. 11.❌ Meera’s handwriting reader was tested on 19 new handwritten letters and got 17 right. How many did it get wrong?
12. 12.📦 Meera collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 45 right and Model B got 43 right. How many percentage points more accurate is Model A?
14. 14.❌ Ishaan’s leaf identifier was tested on 43 new leaf photos and got 35 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
16. 16.🎯 Arjun’s fruit sorter is 80% accurate. If it is tested on 20 new fruit photos, how many should it get right?
17. 17.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
18. 18.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 48 right and Model B got 46 right. How many percentage points more accurate is Model A?
19. 19.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
20. 20.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
21. 21.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
22. 22.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
23. 23.📦 Aarav collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
25. 25.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
26. 26.📦 Aarav collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
27. 27.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 45 right and Model B got 32 right. How many percentage points more accurate is Model A?
28. 28.🎯 Rohan’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
29. 29.🎯 Rohan’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
30. 30.🎯 Tara’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
31. 31.📋 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
32. 32.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
33. 33.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 11 right. How many percentage points more accurate is Model A?
34. 34.❌ Arjun’s recycling sorter was tested on 43 new waste photos and got 40 right. How many did it get wrong?
35. 35.🎯 Rohan’s handwriting reader is 90% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
36. 36.🎯 Ananya’s spam spotter is 70% accurate. If it is tested on 60 new messages, how many should it get right?
37. 37.🎯 Aarav’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
38. 38.❌ Arjun’s handwriting reader was tested on 33 new handwritten letters and got 27 right. How many did it get wrong?
39. 39.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
40. 40.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 15 right. How many percentage points more accurate is Model A?

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