Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 773 · 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.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
2. 2.🎯 Kabir’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
3. 3.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
4. 4.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 47 right. How many percentage points more accurate is Model A?
5. 5.📦 Aarav collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
6. 6.🎯 Kabir’s handwriting reader is 80% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
7. 7.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
8. 8.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
9. 9.🎯 Vihaan’s bird-song app was tested on 25 new bird songs and got 19 right. What is its accuracy in percent?
10. 10.🎯 Nisha’s handwriting reader was tested on 20 new handwritten letters and got 10 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
12. 12.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
13. 13.📋 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
14. 14.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
15. 15.❌ Meera’s handwriting reader was tested on 41 new handwritten letters and got 33 right. How many did it get wrong?
16. 16.🎯 Aarav’s fruit sorter is 80% accurate. If it is tested on 90 new fruit 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 fruit sorter was tested on 25 new fruit photos and got 17 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
20. 20.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
21. 21.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
22. 22.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
23. 23.🎯 Ishaan’s bird-song app is 70% accurate. If it is tested on 60 new bird songs, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
25. 25.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 20 new fruit photos, how many should it get right?
26. 26.📦 Kabir collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
28. 28.📋 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
29. 29.🎯 Ishaan’s recycling sorter is 70% accurate. If it is tested on 80 new waste photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — let it learn patterns or gather many examples? (a) let it learn patterns (b) gather many examples
31. 31.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
32. 32.🎯 Ananya’s leaf identifier is 70% accurate. If it is tested on 40 new leaf photos, how many should it get right?
33. 33.📋 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
34. 34.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
35. 35.🎯 Ishaan’s fruit sorter was tested on 25 new fruit photos and got 24 right. What is its accuracy in percent?
36. 36.🎯 Arjun’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
38. 38.🎯 Diya’s fruit sorter was tested on 25 new fruit photos and got 22 right. What is its accuracy in percent?
39. 39.🎯 Nisha’s handwriting reader is 50% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
40. 40.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?

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