Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 297 · 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 spam spotter models were tested on the same 10 messages. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
2. 2.❌ Aarav’s recycling sorter was tested on 38 new waste photos and got 32 right. How many did it get wrong?
3. 3.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
4. 4.📦 Meera collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
5. 5.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
6. 6.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
7. 7.🎯 Ishaan’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
8. 8.🎯 Aarav’s recycling sorter is 60% accurate. If it is tested on 70 new waste photos, how many should it get right?
9. 9.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
10. 10.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
11. 11.🎯 Kabir’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
12. 12.❌ Aarav’s bird-song app was tested on 22 new bird songs and got 13 right. How many did it get wrong?
13. 13.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
15. 15.📦 Nisha collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.❌ Meera’s bird-song app was tested on 24 new bird songs and got 20 right. How many did it get wrong?
17. 17.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
18. 18.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
19. 19.❌ Ananya’s bird-song app was tested on 16 new bird songs and got 10 right. How many did it get wrong?
20. 20.❌ Tara’s bird-song app was tested on 41 new bird songs and got 36 right. How many did it get wrong?
21. 21.🎯 Aarav’s handwriting reader is 80% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
23. 23.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
24. 24.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
25. 25.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
26. 26.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
27. 27.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
28. 28.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
29. 29.📋 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
30. 30.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
31. 31.🧪 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 make it faster (d) to save paper
32. 32.🎯 Aarav’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
33. 33.❌ Saanvi’s fruit sorter was tested on 26 new fruit photos and got 24 right. How many did it get wrong?
34. 34.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
35. 35.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 16 right. How many percentage points more accurate is Model A?
36. 36.📦 Arjun collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
38. 38.📦 Aarav collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
40. 40.📦 Ananya collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

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