Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 747 · 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.❌ Aarav’s spam spotter was tested on 42 new messages and got 40 right. How many did it get wrong?
2. 2.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
3. 3.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
5. 5.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
6. 6.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
7. 7.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
8. 8.🎯 Arjun’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
9. 9.📦 Diya collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.🎯 Rohan’s leaf identifier is 70% accurate. If it is tested on 50 new leaf photos, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
12. 12.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
14. 14.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
16. 16.📦 Kabir collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Arjun’s bird-song app is 90% accurate. If it is tested on 50 new bird songs, how many should it get right?
18. 18.🎯 Arjun’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
19. 19.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 100 new bird songs, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
21. 21.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
22. 22.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
23. 23.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
25. 25.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
26. 26.📦 Ananya collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Aarav’s handwriting reader is 80% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
29. 29.🎯 Rohan’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
30. 30.🎯 Nisha’s fruit sorter was tested on 50 new fruit photos and got 26 right. What is its accuracy in percent?
31. 31.🎯 Ananya’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
32. 32.❌ Ananya’s fruit sorter was tested on 46 new fruit photos and got 41 right. How many did it get wrong?
33. 33.📦 Nisha collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Ishaan’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
35. 35.❌ Nisha’s fruit sorter was tested on 17 new fruit photos and got 14 right. How many did it get wrong?
36. 36.📋 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
37. 37.❌ Diya’s fruit sorter was tested on 34 new fruit photos and got 30 right. How many did it get wrong?
38. 38.🎯 Nisha’s handwriting reader is 90% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
39. 39.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
40. 40.🎯 Rohan’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?

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