Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 670 · 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 — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
2. 2.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
3. 3.🎯 Tara’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
5. 5.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 22 right and Model B got 13 right. How many percentage points more accurate is Model A?
6. 6.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
7. 7.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
8. 8.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
9. 9.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
11. 11.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
12. 12.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
13. 13.🎯 Diya’s leaf identifier is 80% accurate. If it is tested on 80 new leaf photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
15. 15.📦 Ishaan collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Diya’s fruit sorter is 60% accurate. If it is tested on 60 new fruit photos, how many should it get right?
17. 17.🎯 Vihaan’s leaf identifier was tested on 20 new leaf photos and got 19 right. What is its accuracy in percent?
18. 18.❌ Aarav’s leaf identifier was tested on 23 new leaf photos and got 14 right. How many did it get wrong?
19. 19.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
21. 21.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
22. 22.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
23. 23.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
24. 24.🎯 Tara’s bird-song app was tested on 20 new bird songs and got 10 right. What is its accuracy in percent?
25. 25.❌ Rohan’s fruit sorter was tested on 46 new fruit photos and got 41 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
27. 27.❌ Arjun’s leaf identifier was tested on 19 new leaf photos and got 10 right. How many did it get wrong?
28. 28.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
29. 29.❌ Rohan’s bird-song app was tested on 35 new bird songs and got 26 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
31. 31.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
32. 32.🎯 Diya’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
33. 33.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
35. 35.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
36. 36.❌ Vihaan’s recycling sorter was tested on 39 new waste photos and got 33 right. How many did it get wrong?
37. 37.🎯 Nisha’s handwriting reader is 70% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
38. 38.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
39. 39.📦 Diya collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Arjun’s fruit sorter was tested on 25 new fruit photos and got 22 right. What is its accuracy in percent?

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