Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 507 · 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.🎯 Aarav’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
2. 2.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
4. 4.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
5. 5.🎯 Ishaan’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
7. 7.📦 Kabir collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
8. 8.🧪 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
9. 9.🎯 Saanvi’s bird-song app is 70% accurate. If it is tested on 60 new bird songs, how many should it get right?
10. 10.📦 Ishaan collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
11. 11.❌ Nisha’s bird-song app was tested on 33 new bird songs and got 28 right. How many did it get wrong?
12. 12.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
13. 13.🎯 Diya’s bird-song app was tested on 25 new bird songs and got 15 right. What is its accuracy in percent?
14. 14.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
15. 15.📦 Diya collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Saanvi’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
18. 18.🎯 Ishaan’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
19. 19.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 47 right and Model B got 43 right. How many percentage points more accurate is Model A?
20. 20.🧪 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
21. 21.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
22. 22.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
23. 23.🎯 Arjun’s fruit sorter was tested on 50 new fruit photos and got 34 right. What is its accuracy in percent?
24. 24.📋 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
25. 25.📦 Tara collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 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
27. 27.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
28. 28.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
29. 29.📦 Diya collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
31. 31.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
32. 32.📦 Ananya collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
34. 34.❌ Saanvi’s handwriting reader was tested on 26 new handwritten letters and got 19 right. How many did it get wrong?
35. 35.❌ Nisha’s leaf identifier was tested on 23 new leaf photos and got 16 right. How many did it get wrong?
36. 36.🎯 Aarav’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
37. 37.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
39. 39.❌ Arjun’s fruit sorter was tested on 45 new fruit photos and got 42 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples

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