Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 156 · 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 train the model? (a) improve data, retest (b) train the model
2. 2.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
3. 3.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
4. 4.📦 Aarav collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
5. 5.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
6. 6.📦 Tara collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Rohan’s recycling sorter was tested on 20 new waste photos and got 20 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
9. 9.❌ Aarav’s handwriting reader was tested on 24 new handwritten letters and got 15 right. How many did it get wrong?
10. 10.🎯 Tara’s handwriting reader is 80% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
11. 11.🎯 Vihaan’s handwriting reader was tested on 10 new handwritten letters and got 9 right. What is its accuracy in percent?
12. 12.🧪 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
13. 13.❌ Tara’s leaf identifier was tested on 33 new leaf photos and got 31 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
16. 16.❌ Ishaan’s spam spotter was tested on 43 new messages and got 36 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
18. 18.📦 Aarav collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Rohan’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
21. 21.🎯 Nisha’s fruit sorter is 80% accurate. If it is tested on 90 new fruit photos, how many should it get right?
22. 22.🎯 Kabir’s leaf identifier is 90% accurate. If it is tested on 40 new leaf photos, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
24. 24.❌ Diya’s leaf identifier was tested on 31 new leaf photos and got 30 right. How many did it get wrong?
25. 25.❌ Ishaan’s leaf identifier was tested on 24 new leaf photos and got 23 right. How many did it get wrong?
26. 26.📦 Aarav collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
28. 28.❌ Arjun’s leaf identifier was tested on 30 new leaf photos and got 22 right. How many did it get wrong?
29. 29.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
30. 30.🧪 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
31. 31.🎯 Diya’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
32. 32.📋 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
33. 33.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 16 right and Model B got 11 right. How many percentage points more accurate is Model A?
34. 34.🎯 Vihaan’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
35. 35.🎯 Rohan’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
36. 36.🎯 Aarav’s bird-song app was tested on 50 new bird songs and got 42 right. What is its accuracy in percent?
37. 37.🎯 Ishaan’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
39. 39.🎯 Kabir’s spam spotter was tested on 25 new messages and got 24 right. What is its accuracy in percent?
40. 40.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 13 right. How many percentage points more accurate is Model A?

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