Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 612 · 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.🎯 Ishaan’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
2. 2.🎯 Ananya’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
3. 3.❌ Kabir’s fruit sorter was tested on 16 new fruit photos and got 11 right. How many did it get wrong?
4. 4.🎯 Ananya’s recycling sorter is 50% accurate. If it is tested on 30 new waste photos, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
6. 6.📦 Vihaan collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
7. 7.❌ Kabir’s fruit sorter was tested on 33 new fruit photos and got 31 right. How many did it get wrong?
8. 8.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
9. 9.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
10. 10.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
11. 11.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
12. 12.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
13. 13.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
14. 14.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 21 right and Model B got 13 right. How many percentage points more accurate is Model A?
15. 15.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
16. 16.📦 Saanvi collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 16 right. How many percentage points more accurate is Model A?
18. 18.🧪 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
19. 19.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 11 right. How many percentage points more accurate is Model A?
20. 20.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
21. 21.🎯 Tara’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
23. 23.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
24. 24.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
25. 25.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
26. 26.📦 Kabir collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Saanvi’s spam spotter was tested on 20 new messages and got 18 right. What is its accuracy in percent?
28. 28.🎯 Saanvi’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
29. 29.🧪 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
30. 30.📦 Vihaan collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Aarav’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
32. 32.🎯 Rohan’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
34. 34.❌ Aarav’s fruit sorter was tested on 22 new fruit photos and got 17 right. How many did it get wrong?
35. 35.🎯 Saanvi’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
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.🎯 Aarav’s spam spotter was tested on 25 new messages and got 18 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
39. 39.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
40. 40.🎯 Diya’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?

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