Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 973 · 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.📦 Kabir collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
3. 3.❌ Meera’s recycling sorter was tested on 44 new waste photos and got 43 right. How many did it get wrong?
4. 4.📦 Tara collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
5. 5.🧪 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
6. 6.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
7. 7.❌ Nisha’s spam spotter was tested on 21 new messages and got 18 right. How many did it get wrong?
8. 8.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
9. 9.❌ Rohan’s fruit sorter was tested on 15 new fruit photos and got 14 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
11. 11.📦 Rohan collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 70 new bird songs, how many should it get right?
13. 13.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
14. 14.🧪 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
15. 15.🎯 Diya’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
17. 17.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
18. 18.🎯 Arjun’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
20. 20.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
21. 21.❌ Nisha’s leaf identifier was tested on 49 new leaf photos and got 46 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
23. 23.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
24. 24.❌ Diya’s fruit sorter was tested on 33 new fruit photos and got 32 right. How many did it get wrong?
25. 25.❌ Vihaan’s leaf identifier was tested on 49 new leaf photos and got 45 right. How many did it get wrong?
26. 26.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
27. 27.📋 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
28. 28.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
29. 29.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
30. 30.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
31. 31.📦 Ananya collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.📦 Saanvi collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
34. 34.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
35. 35.🎯 Rohan’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
37. 37.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
38. 38.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
40. 40.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest

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