Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 21 · 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.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
2. 2.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
3. 3.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
4. 4.🎯 Saanvi’s bird-song app is 60% accurate. If it is tested on 80 new bird songs, how many should it get right?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
6. 6.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
7. 7.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
8. 8.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 22 right and Model B got 21 right. How many percentage points more accurate is Model A?
9. 9.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 90 new messages, how many should it get right?
10. 10.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 16 right. How many percentage points more accurate is Model A?
11. 11.❌ Tara’s leaf identifier was tested on 33 new leaf photos and got 28 right. How many did it get wrong?
12. 12.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
13. 13.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 18 right. How many percentage points more accurate is Model A?
14. 14.🎯 Rohan’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
15. 15.❌ Tara’s recycling sorter was tested on 49 new waste photos and got 44 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
17. 17.❌ Nisha’s fruit sorter was tested on 21 new fruit photos and got 13 right. How many did it get wrong?
18. 18.📦 Saanvi collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Saanvi’s bird-song app is 90% accurate. If it is tested on 30 new bird songs, how many should it get right?
20. 20.🎯 Aarav’s spam spotter is 70% accurate. If it is tested on 70 new messages, how many should it get right?
21. 21.🧪 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
22. 22.❌ Kabir’s spam spotter was tested on 32 new messages and got 31 right. How many did it get wrong?
23. 23.❌ Diya’s recycling sorter was tested on 38 new waste photos and got 30 right. How many did it get wrong?
24. 24.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
25. 25.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
26. 26.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
27. 27.📦 Aarav collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
29. 29.🎯 Nisha’s bird-song app was tested on 50 new bird songs and got 32 right. What is its accuracy in percent?
30. 30.📋 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
31. 31.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
32. 32.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
33. 33.🎯 Arjun’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
35. 35.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
36. 36.❌ Aarav’s handwriting reader was tested on 47 new handwritten letters and got 46 right. How many did it get wrong?
37. 37.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
38. 38.🎯 Saanvi’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
39. 39.📦 Diya collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos

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