Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 410 · 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 handwriting reader was tested on 44 new handwritten letters and got 42 right. How many did it get wrong?
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
3. 3.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
4. 4.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
5. 5.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
6. 6.❌ Tara’s leaf identifier was tested on 19 new leaf photos and got 16 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
9. 9.🎯 Rohan’s fruit sorter was tested on 25 new fruit photos and got 20 right. What is its accuracy in percent?
10. 10.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 22 right. How many percentage points more accurate is Model A?
11. 11.❌ Aarav’s spam spotter was tested on 17 new messages and got 15 right. How many did it get wrong?
12. 12.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
13. 13.🎯 Ananya’s recycling sorter is 60% accurate. If it is tested on 80 new waste photos, how many should it get right?
14. 14.📋 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
15. 15.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
16. 16.🎯 Meera’s recycling sorter was tested on 20 new waste photos and got 20 right. What is its accuracy in percent?
17. 17.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 17 right. How many percentage points more accurate is Model A?
18. 18.📦 Diya collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
21. 21.📦 Arjun collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
23. 23.📦 Aarav collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
25. 25.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
26. 26.🎯 Tara’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
27. 27.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
29. 29.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
30. 30.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
31. 31.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 40 right and Model B got 37 right. How many percentage points more accurate is Model A?
32. 32.🎯 Vihaan’s recycling sorter was tested on 10 new waste photos and got 8 right. What is its accuracy in percent?
33. 33.🎯 Vihaan’s spam spotter was tested on 50 new messages and got 38 right. What is its accuracy in percent?
34. 34.📋 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
35. 35.🎯 Ishaan’s leaf identifier was tested on 20 new leaf photos and got 19 right. What is its accuracy in percent?
36. 36.🎯 Arjun’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
37. 37.🎯 Diya’s spam spotter was tested on 50 new messages and got 37 right. What is its accuracy in percent?
38. 38.🎯 Arjun’s recycling sorter was tested on 50 new waste photos and got 41 right. What is its accuracy in percent?
39. 39.🎯 Ishaan’s leaf identifier is 70% accurate. If it is tested on 90 new leaf photos, how many should it get right?
40. 40.🎯 Kabir’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?

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