Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 521 · 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 — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
2. 2.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
3. 3.🎯 Aarav’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
4. 4.🎯 Vihaan’s handwriting reader was tested on 50 new handwritten letters and got 50 right. What is its accuracy in percent?
5. 5.🎯 Ananya’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
6. 6.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
7. 7.🎯 Tara’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
8. 8.🎯 Meera’s handwriting reader is 70% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
10. 10.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
11. 11.🎯 Kabir’s fruit sorter is 60% accurate. If it is tested on 100 new fruit photos, how many should it get right?
12. 12.🎯 Vihaan’s recycling sorter is 90% accurate. If it is tested on 60 new waste photos, how many should it get right?
13. 13.❌ Tara’s spam spotter was tested on 34 new messages and got 28 right. How many did it get wrong?
14. 14.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 48 right and Model B got 35 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
16. 16.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
17. 17.📋 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
18. 18.🎯 Aarav’s fruit sorter was tested on 25 new fruit photos and got 23 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
20. 20.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
21. 21.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
23. 23.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
24. 24.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
25. 25.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
26. 26.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
27. 27.🎯 Arjun’s leaf identifier was tested on 10 new leaf photos and got 8 right. What is its accuracy in percent?
28. 28.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
29. 29.🎯 Saanvi’s fruit sorter was tested on 25 new fruit photos and got 13 right. What is its accuracy in percent?
30. 30.🎯 Aarav’s bird-song app is 60% accurate. If it is tested on 80 new bird songs, how many should it get right?
31. 31.🎯 Nisha’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
33. 33.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
34. 34.🎯 Saanvi’s fruit sorter was tested on 20 new fruit photos and got 10 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
36. 36.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
37. 37.❌ Tara’s spam spotter was tested on 28 new messages and got 27 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
39. 39.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
40. 40.❌ Nisha’s leaf identifier was tested on 49 new leaf photos and got 47 right. How many did it get wrong?

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