Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 83 · 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.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
2. 2.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
3. 3.📦 Nisha collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
4. 4.🎯 Aarav’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
5. 5.🎯 Nisha’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
6. 6.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 40 right and Model B got 38 right. How many percentage points more accurate is Model A?
7. 7.❌ Diya’s spam spotter was tested on 48 new messages and got 41 right. How many did it get wrong?
8. 8.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
9. 9.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
10. 10.🎯 Aarav’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
11. 11.❌ Saanvi’s handwriting reader was tested on 33 new handwritten letters and got 31 right. How many did it get wrong?
12. 12.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?
13. 13.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
15. 15.❌ Nisha’s spam spotter was tested on 48 new messages and got 39 right. How many did it get wrong?
16. 16.🎯 Saanvi’s handwriting reader is 60% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
18. 18.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 13 right. What is its accuracy in percent?
19. 19.📦 Aarav collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
21. 21.❌ Meera’s recycling sorter was tested on 34 new waste photos and got 32 right. How many did it get wrong?
22. 22.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
23. 23.📋 Planning an AI project: which comes first — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
24. 24.🎯 Rohan’s fruit sorter is 60% accurate. If it is tested on 60 new fruit photos, how many should it get right?
25. 25.❌ Aarav’s recycling sorter was tested on 34 new waste photos and got 33 right. How many did it get wrong?
26. 26.🧪 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
27. 27.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 48 right and Model B got 26 right. How many percentage points more accurate is Model A?
28. 28.🎯 Kabir’s handwriting reader was tested on 25 new handwritten letters and got 21 right. What is its accuracy in percent?
29. 29.🎯 Aarav’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
31. 31.❌ Arjun’s bird-song app was tested on 46 new bird songs and got 44 right. How many did it get wrong?
32. 32.🎯 Aarav’s handwriting reader was tested on 25 new handwritten letters and got 16 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
34. 34.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
35. 35.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
36. 36.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
37. 37.📋 Planning an AI project: which comes first — pick a question to solve or work out the accuracy? (a) pick a question to solve (b) work out the accuracy
38. 38.📦 Kabir collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Ishaan’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
40. 40.📦 Saanvi collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

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