Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 968 · 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.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
2. 2.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
4. 4.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 42 right and Model B got 41 right. How many percentage points more accurate is Model A?
5. 5.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
6. 6.🎯 Rohan’s fruit sorter was tested on 20 new fruit photos and got 10 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
9. 9.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
10. 10.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 11 right and Model B got 10 right. How many percentage points more accurate is Model A?
11. 11.🎯 Meera’s leaf identifier was tested on 25 new leaf photos and got 20 right. What is its accuracy in percent?
12. 12.🎯 Tara’s handwriting reader was tested on 50 new handwritten letters and got 33 right. What is its accuracy in percent?
13. 13.🎯 Nisha’s bird-song app was tested on 25 new bird songs and got 22 right. What is its accuracy in percent?
14. 14.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
16. 16.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 16 right. How many percentage points more accurate is Model A?
17. 17.📋 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
18. 18.🎯 Meera’s bird-song app was tested on 50 new bird songs and got 35 right. What is its accuracy in percent?
19. 19.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
20. 20.🎯 Rohan’s handwriting reader was tested on 25 new handwritten letters and got 13 right. What is its accuracy in percent?
21. 21.❌ Vihaan’s bird-song app was tested on 23 new bird songs and got 20 right. How many did it get wrong?
22. 22.📦 Ananya collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 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
24. 24.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
25. 25.🎯 Vihaan’s recycling sorter is 90% accurate. If it is tested on 70 new waste photos, how many should it get right?
26. 26.📦 Arjun collected 100 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 — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
28. 28.❌ Ananya’s leaf identifier was tested on 44 new leaf photos and got 41 right. How many did it get wrong?
29. 29.📦 Kabir collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
30. 30.📦 Kabir collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Tara’s recycling sorter was tested on 25 new waste photos and got 23 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
33. 33.📦 Arjun collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
35. 35.❌ Tara’s recycling sorter was tested on 43 new waste photos and got 37 right. How many did it get wrong?
36. 36.❌ Aarav’s spam spotter was tested on 14 new messages and got 13 right. How many did it get wrong?
37. 37.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
38. 38.⚖️ 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?
39. 39.📦 Arjun collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Vihaan’s handwriting reader was tested on 25 new handwritten letters and got 24 right. What is its accuracy in percent?

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