Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 343 · 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.🧪 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
2. 2.🎯 Aarav’s leaf identifier was tested on 25 new leaf photos and got 17 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
4. 4.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 47 right and Model B got 40 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
6. 6.📦 Kabir collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
7. 7.📋 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
8. 8.❌ Ishaan’s handwriting reader was tested on 14 new handwritten letters and got 11 right. How many did it get wrong?
9. 9.❌ Meera’s leaf identifier was tested on 27 new leaf photos and got 24 right. How many did it get wrong?
10. 10.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?
11. 11.❌ Tara’s fruit sorter was tested on 43 new fruit photos and got 36 right. How many did it get wrong?
12. 12.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
13. 13.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
15. 15.🎯 Aarav’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
17. 17.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
18. 18.❌ Aarav’s bird-song app was tested on 37 new bird songs and got 29 right. How many did it get wrong?
19. 19.🎯 Rohan’s leaf identifier was tested on 50 new leaf photos and got 43 right. What is its accuracy in percent?
20. 20.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 36 right and Model B got 28 right. How many percentage points more accurate is Model A?
21. 21.📦 Ishaan collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
22. 22.🎯 Vihaan’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
23. 23.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 70 new messages, how many should it get right?
24. 24.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
26. 26.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
27. 27.📋 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
28. 28.📋 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
29. 29.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
30. 30.❌ Tara’s recycling sorter was tested on 27 new waste photos and got 26 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
32. 32.🎯 Meera’s bird-song app was tested on 25 new bird songs and got 20 right. What is its accuracy in percent?
33. 33.🎯 Vihaan’s spam spotter is 70% accurate. If it is tested on 20 new messages, how many should it get right?
34. 34.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
36. 36.❌ Aarav’s recycling sorter was tested on 19 new waste photos and got 16 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
38. 38.❌ Meera’s recycling sorter was tested on 21 new waste photos and got 18 right. How many did it get wrong?
39. 39.📦 Diya collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
40. 40.❌ Kabir’s recycling sorter was tested on 29 new waste photos and got 27 right. How many did it get wrong?

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