Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 168 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
2. 2.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
3. 3.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
4. 4.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
5. 5.📦 Nisha collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
6. 6.🎯 Ananya’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
8. 8.❌ Aarav’s fruit sorter was tested on 16 new fruit photos and got 12 right. How many did it get wrong?
9. 9.❌ Diya’s spam spotter was tested on 24 new messages and got 22 right. How many did it get wrong?
10. 10.❌ Tara’s leaf identifier was tested on 21 new leaf photos and got 18 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
13. 13.🎯 Kabir’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
15. 15.🎯 Vihaan’s handwriting reader was tested on 25 new handwritten letters and got 14 right. What is its accuracy in percent?
16. 16.❌ Vihaan’s fruit sorter was tested on 27 new fruit photos and got 20 right. How many did it get wrong?
17. 17.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 10 new waste photos, how many should it get right?
18. 18.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
19. 19.🎯 Kabir’s handwriting reader was tested on 25 new handwritten letters and got 22 right. What is its accuracy in percent?
20. 20.📦 Kabir collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
21. 21.❌ Diya’s recycling sorter was tested on 30 new waste photos and got 27 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
23. 23.🎯 Vihaan’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
24. 24.🎯 Ishaan’s recycling sorter was tested on 50 new waste photos and got 46 right. What is its accuracy in percent?
25. 25.📦 Diya collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
27. 27.📦 Meera collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
29. 29.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
31. 31.❌ Nisha’s handwriting reader was tested on 35 new handwritten letters and got 32 right. How many did it get wrong?
32. 32.🎯 Ishaan’s fruit sorter is 70% accurate. If it is tested on 50 new fruit photos, how many should it get right?
33. 33.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 22 right and Model B got 16 right. How many percentage points more accurate is Model A?
34. 34.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
35. 35.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
36. 36.📦 Ishaan collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
38. 38.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
39. 39.🎯 Kabir’s bird-song app is 90% accurate. If it is tested on 100 new bird songs, how many should it get right?
40. 40.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 40 new messages, how many should it get right?

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