Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 863 · 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 — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
2. 2.❌ Vihaan’s fruit sorter was tested on 22 new fruit photos and got 18 right. How many did it get wrong?
3. 3.🧪 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
4. 4.❌ Aarav’s spam spotter was tested on 15 new messages and got 13 right. How many did it get wrong?
5. 5.🎯 Saanvi’s recycling sorter is 60% accurate. If it is tested on 60 new waste photos, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
7. 7.❌ Ananya’s fruit sorter was tested on 23 new fruit photos and got 21 right. How many did it get wrong?
8. 8.❌ Aarav’s leaf identifier was tested on 16 new leaf photos and got 13 right. How many did it get wrong?
9. 9.📦 Meera collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
11. 11.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
12. 12.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
13. 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
14. 14.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 48 right and Model B got 40 right. How many percentage points more accurate is Model A?
15. 15.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
16. 16.📦 Ananya collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
18. 18.❌ Aarav’s bird-song app was tested on 47 new bird songs and got 40 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
20. 20.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
21. 21.🎯 Aarav’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
23. 23.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
24. 24.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
25. 25.🎯 Arjun’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
26. 26.🎯 Arjun’s fruit sorter was tested on 20 new fruit photos and got 16 right. What is its accuracy in percent?
27. 27.🧪 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
28. 28.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
29. 29.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 18 right. How many percentage points more accurate is Model A?
30. 30.❌ Tara’s fruit sorter was tested on 23 new fruit photos and got 20 right. How many did it get wrong?
31. 31.🎯 Arjun’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
32. 32.❌ Vihaan’s recycling sorter was tested on 15 new waste photos and got 13 right. How many did it get wrong?
33. 33.❌ Diya’s handwriting reader was tested on 24 new handwritten letters and got 18 right. How many did it get wrong?
34. 34.📦 Ishaan collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
36. 36.🎯 Arjun’s spam spotter is 70% accurate. If it is tested on 20 new messages, how many should it get right?
37. 37.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
38. 38.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 36 right. How many percentage points more accurate is Model A?
39. 39.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos

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