Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 835 · 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.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
2. 2.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
3. 3.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
4. 4.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
5. 5.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
6. 6.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
7. 7.🎯 Rohan’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
9. 9.❌ Arjun’s bird-song app was tested on 40 new bird songs and got 34 right. How many did it get wrong?
10. 10.🧪 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
11. 11.🎯 Rohan’s handwriting reader was tested on 25 new handwritten letters and got 14 right. What is its accuracy in percent?
12. 12.📋 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
13. 13.🎯 Kabir’s spam spotter was tested on 50 new messages and got 36 right. What is its accuracy in percent?
14. 14.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 20 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
16. 16.📦 Ananya collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
17. 17.📦 Aarav collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.❌ Rohan’s fruit sorter was tested on 33 new fruit photos and got 28 right. How many did it get wrong?
19. 19.❌ Vihaan’s fruit sorter was tested on 37 new fruit photos and got 28 right. How many did it get wrong?
20. 20.📦 Arjun collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.❌ Nisha’s leaf identifier was tested on 19 new leaf photos and got 16 right. How many did it get wrong?
22. 22.🎯 Ananya’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
23. 23.🎯 Rohan’s fruit sorter was tested on 50 new fruit photos and got 49 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
25. 25.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
26. 26.❌ Meera’s bird-song app was tested on 20 new bird songs and got 19 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
28. 28.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
29. 29.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
30. 30.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
31. 31.📦 Diya collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Ishaan’s fruit sorter is 50% accurate. If it is tested on 20 new fruit photos, how many should it get right?
33. 33.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 45 right. How many percentage points more accurate is Model A?
34. 34.❌ Arjun’s fruit sorter was tested on 18 new fruit photos and got 17 right. How many did it get wrong?
35. 35.⚖️ 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?
36. 36.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
37. 37.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 45 right and Model B got 25 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
39. 39.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 19 right. What is its accuracy in percent?
40. 40.🎯 Ananya’s leaf identifier is 50% accurate. If it is tested on 50 new leaf photos, how many should it get right?

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