Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 688 · 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 bigger (d) to make it faster
2. 2.🎯 Ishaan’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
3. 3.❌ Meera’s recycling sorter was tested on 27 new waste photos and got 18 right. How many did it get wrong?
4. 4.❌ Vihaan’s handwriting reader was tested on 41 new handwritten letters and got 34 right. How many did it get wrong?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
6. 6.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
7. 7.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
8. 8.❌ Aarav’s leaf identifier was tested on 48 new leaf photos and got 45 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
10. 10.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
11. 11.🧪 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
12. 12.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
13. 13.🎯 Kabir’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
14. 14.🎯 Tara’s bird-song app is 70% accurate. If it is tested on 50 new bird songs, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
16. 16.❌ Ishaan’s leaf identifier was tested on 49 new leaf photos and got 46 right. How many did it get wrong?
17. 17.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 45 right and Model B got 38 right. How many percentage points more accurate is Model A?
18. 18.📦 Arjun collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
20. 20.📦 Vihaan 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.🎯 Arjun’s fruit sorter is 80% accurate. If it is tested on 90 new fruit photos, how many should it get right?
22. 22.❌ Aarav’s spam spotter was tested on 43 new messages and got 41 right. How many did it get wrong?
23. 23.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
24. 24.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
25. 25.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
26. 26.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
27. 27.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
29. 29.📋 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
30. 30.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
31. 31.❌ Meera’s fruit sorter was tested on 34 new fruit photos and got 29 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
33. 33.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?
34. 34.🎯 Ishaan’s bird-song app is 50% accurate. If it is tested on 100 new bird songs, how many should it get right?
35. 35.🎯 Kabir’s bird-song app was tested on 25 new bird songs and got 24 right. What is its accuracy in percent?
36. 36.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
37. 37.📋 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
38. 38.🎯 Rohan’s bird-song app was tested on 50 new bird songs and got 30 right. What is its accuracy in percent?
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.🎯 Kabir’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?

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