Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 584 · 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 spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 39 right. How many percentage points more accurate is Model A?
2. 2.❌ Nisha’s recycling sorter was tested on 24 new waste photos and got 22 right. How many did it get wrong?
3. 3.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
4. 4.🧪 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
5. 5.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
6. 6.📋 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
7. 7.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
8. 8.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
10. 10.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
11. 11.🎯 Diya’s fruit sorter was tested on 20 new fruit photos and got 15 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
13. 13.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples
14. 14.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
15. 15.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
16. 16.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
17. 17.🎯 Kabir’s bird-song app is 90% accurate. If it is tested on 90 new bird songs, how many should it get right?
18. 18.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
19. 19.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 28 right. What is its accuracy in percent?
20. 20.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
22. 22.🎯 Vihaan’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
23. 23.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
24. 24.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 17 right and Model B got 12 right. How many percentage points more accurate is Model A?
25. 25.🎯 Tara’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
26. 26.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 32 right and Model B got 31 right. How many percentage points more accurate is Model A?
27. 27.🎯 Diya’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
29. 29.📋 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
30. 30.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
31. 31.🎯 Saanvi’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
32. 32.🎯 Aarav’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
34. 34.🎯 Arjun’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
35. 35.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 49 right and Model B got 41 right. How many percentage points more accurate is Model A?
36. 36.🎯 Ananya’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
37. 37.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
38. 38.🎯 Ananya’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
39. 39.📦 Nisha collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.📦 Meera collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?

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