Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 598 · 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 25 handwritten letters. Model A got 22 right and Model B got 17 right. How many percentage points more accurate is Model A?
2. 2.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
3. 3.🎯 Ananya’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
4. 4.🎯 Aarav’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
5. 5.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
7. 7.🎯 Kabir’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
8. 8.🎯 Nisha’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
9. 9.❌ Kabir’s spam spotter was tested on 29 new messages and got 23 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
11. 11.🎯 Ananya’s leaf identifier was tested on 20 new leaf photos and got 13 right. What is its accuracy in percent?
12. 12.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
13. 13.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 13 right. What is its accuracy in percent?
14. 14.❌ Ishaan’s spam spotter was tested on 31 new messages and got 25 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
16. 16.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
17. 17.❌ Saanvi’s fruit sorter was tested on 21 new fruit photos and got 18 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
19. 19.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
20. 20.📦 Tara collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
21. 21.📦 Arjun collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
23. 23.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
24. 24.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 80 new messages, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
26. 26.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
27. 27.📦 Aarav collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
29. 29.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
30. 30.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 46 right and Model B got 45 right. How many percentage points more accurate is Model A?
31. 31.🎯 Nisha’s leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
33. 33.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
34. 34.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
35. 35.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
36. 36.🎯 Tara’s bird-song app was tested on 25 new bird songs and got 20 right. What is its accuracy in percent?
37. 37.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 13 right. How many percentage points more accurate is Model A?
38. 38.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 33 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
40. 40.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label

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