Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 944 · 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 50 handwritten letters. Model A got 28 right and Model B got 27 right. How many percentage points more accurate is Model A?
2. 2.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 40 new waste photos, how many should it get right?
3. 3.🎯 Tara’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
5. 5.🎯 Tara’s bird-song app is 80% accurate. If it is tested on 40 new bird songs, how many should it get right?
6. 6.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 47 right. How many percentage points more accurate is Model A?
7. 7.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
8. 8.❌ Saanvi’s recycling sorter was tested on 20 new waste photos and got 19 right. How many did it get wrong?
9. 9.📦 Tara collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
11. 11.❌ Tara’s recycling sorter was tested on 36 new waste photos and got 34 right. How many did it get wrong?
12. 12.🎯 Vihaan’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
13. 13.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
14. 14.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
16. 16.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
17. 17.❌ Arjun’s recycling sorter was tested on 18 new waste photos and got 13 right. How many did it get wrong?
18. 18.📋 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
19. 19.📋 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
20. 20.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 34 right and Model B got 33 right. How many percentage points more accurate is Model A?
21. 21.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
22. 22.🎯 Kabir’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
24. 24.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
25. 25.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
26. 26.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
27. 27.📦 Nisha collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Diya’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
29. 29.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
30. 30.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 90 new fruit photos, how many should it get right?
31. 31.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
32. 32.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
33. 33.❌ Kabir’s recycling sorter was tested on 41 new waste photos and got 38 right. How many did it get wrong?
34. 34.📦 Nisha collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.🎯 Nisha’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
36. 36.🎯 Ishaan’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
37. 37.📦 Tara collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Kabir’s fruit sorter was tested on 24 new fruit photos and got 21 right. How many did it get wrong?
39. 39.🎯 Kabir’s leaf identifier was tested on 20 new leaf photos and got 15 right. What is its accuracy in percent?
40. 40.❌ Diya’s leaf identifier was tested on 27 new leaf photos and got 22 right. How many did it get wrong?

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