Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 727 · 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 recycling sorter models were tested on the same 25 waste photos. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
2. 2.❌ Meera’s handwriting reader was tested on 32 new handwritten letters and got 26 right. How many did it get wrong?
3. 3.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
4. 4.🎯 Aarav’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?
5. 5.🧪 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
6. 6.🎯 Kabir’s leaf identifier is 60% accurate. If it is tested on 70 new leaf photos, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
8. 8.📦 Kabir collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
10. 10.🎯 Ananya’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
11. 11.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 9 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
13. 13.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
14. 14.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
15. 15.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
16. 16.🎯 Aarav’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
17. 17.📦 Tara collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.📦 Saanvi collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.📦 Tara collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
20. 20.📦 Aarav collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Aarav’s recycling sorter was tested on 20 new waste photos and got 15 right. What is its accuracy in percent?
22. 22.🎯 Diya’s bird-song app is 80% accurate. If it is tested on 50 new bird songs, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
24. 24.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 21 right and Model B got 17 right. How many percentage points more accurate is Model A?
25. 25.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 32 right and Model B got 29 right. How many percentage points more accurate is Model A?
26. 26.📋 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
27. 27.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
29. 29.🎯 Arjun’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
30. 30.❌ Arjun’s spam spotter was tested on 18 new messages and got 14 right. How many did it get wrong?
31. 31.❌ Ishaan’s spam spotter was tested on 45 new messages and got 40 right. How many did it get wrong?
32. 32.❌ Meera’s bird-song app was tested on 39 new bird songs and got 35 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
34. 34.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 90 new waste photos, how many should it get right?
35. 35.🎯 Saanvi’s fruit sorter was tested on 25 new fruit photos and got 20 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
37. 37.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
38. 38.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
39. 39.🎯 Arjun’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
40. 40.🎯 Nisha’s leaf identifier is 60% accurate. If it is tested on 30 new leaf photos, how many should it get right?

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