Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 147 · 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 bird-song app models were tested on the same 50 bird songs. Model A got 45 right and Model B got 38 right. How many percentage points more accurate is Model A?
2. 2.🧪 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
3. 3.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
4. 4.🎯 Diya’s handwriting reader was tested on 25 new handwritten letters and got 22 right. What is its accuracy in percent?
5. 5.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
6. 6.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
7. 7.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 30 right. What is its accuracy in percent?
8. 8.🎯 Rohan’s spam spotter is 70% accurate. If it is tested on 70 new messages, how many should it get right?
9. 9.📦 Arjun collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
10. 10.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
11. 11.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
12. 12.🎯 Aarav’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
13. 13.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
14. 14.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 14 right. What is its accuracy in percent?
15. 15.📋 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
16. 16.❌ Ishaan’s spam spotter was tested on 23 new messages and got 21 right. How many did it get wrong?
17. 17.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
18. 18.🧪 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
19. 19.🎯 Meera’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
20. 20.❌ Kabir’s recycling sorter was tested on 35 new waste photos and got 27 right. How many did it get wrong?
21. 21.📦 Ananya collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
22. 22.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 10 right. How many percentage points more accurate is Model A?
23. 23.📦 Rohan collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
25. 25.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 22 right and Model B got 20 right. How many percentage points more accurate is Model A?
26. 26.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
27. 27.🎯 Kabir’s fruit sorter was tested on 20 new fruit photos and got 14 right. What is its accuracy in percent?
28. 28.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 12 right. How many percentage points more accurate is Model A?
29. 29.🧪 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
30. 30.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
31. 31.❌ Saanvi’s leaf identifier was tested on 45 new leaf photos and got 42 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
33. 33.🎯 Ananya’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
34. 34.❌ Vihaan’s bird-song app was tested on 31 new bird songs and got 28 right. How many did it get wrong?
35. 35.📦 Rohan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.❌ Arjun’s handwriting reader was tested on 20 new handwritten letters and got 16 right. How many did it get wrong?
37. 37.🎯 Vihaan’s spam spotter was tested on 25 new messages and got 21 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
39. 39.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
40. 40.⚖️ 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?

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