Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 140 · 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.🎯 Rohan’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
2. 2.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
4. 4.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
5. 5.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
6. 6.🎯 Tara’s spam spotter is 60% accurate. If it is tested on 20 new messages, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
8. 8.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 49 right and Model B got 41 right. How many percentage points more accurate is Model A?
9. 9.🎯 Ananya’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
10. 10.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 48 right and Model B got 39 right. How many percentage points more accurate is Model A?
11. 11.❌ Ananya’s spam spotter was tested on 13 new messages and got 10 right. How many did it get wrong?
12. 12.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
13. 13.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
15. 15.❌ Tara’s leaf identifier was tested on 35 new leaf photos and got 30 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
17. 17.❌ Meera’s bird-song app was tested on 31 new bird songs and got 28 right. How many did it get wrong?
18. 18.📦 Rohan collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 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
20. 20.🎯 Tara’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
21. 21.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
22. 22.🎯 Kabir’s leaf identifier was tested on 25 new leaf photos and got 18 right. What is its accuracy in percent?
23. 23.📋 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
24. 24.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
25. 25.❌ Rohan’s spam spotter was tested on 32 new messages and got 25 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
27. 27.🎯 Tara’s handwriting reader was tested on 25 new handwritten letters and got 13 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
29. 29.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
30. 30.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
31. 31.🎯 Ananya’s handwriting reader is 90% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
32. 32.❌ Ananya’s handwriting reader was tested on 18 new handwritten letters and got 13 right. How many did it get wrong?
33. 33.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
35. 35.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
36. 36.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
37. 37.❌ Nisha’s leaf identifier was tested on 19 new leaf photos and got 14 right. How many did it get wrong?
38. 38.🎯 Ananya’s leaf identifier is 80% accurate. If it is tested on 50 new leaf photos, how many should it get right?
39. 39.🎯 Arjun’s handwriting reader is 50% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model

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