Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 804 · 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.🎯 Rohan’s handwriting reader was tested on 50 new handwritten letters and got 45 right. What is its accuracy in percent?
2. 2.📦 Meera collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
4. 4.📦 Meera collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
6. 6.❌ Ishaan’s leaf identifier was tested on 41 new leaf photos and got 39 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
8. 8.❌ Kabir’s spam spotter was tested on 43 new messages and got 42 right. How many did it get wrong?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
10. 10.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
11. 11.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 35 right and Model B got 27 right. How many percentage points more accurate is Model A?
12. 12.📦 Kabir collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
13. 13.🎯 Ishaan’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
15. 15.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
16. 16.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
17. 17.📋 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
18. 18.🎯 Tara’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
20. 20.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
21. 21.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
22. 22.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
23. 23.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
24. 24.📦 Diya collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Tara’s recycling sorter was tested on 25 new waste photos and got 17 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
27. 27.❌ Nisha’s fruit sorter was tested on 44 new fruit photos and got 39 right. How many did it get wrong?
28. 28.🎯 Aarav’s handwriting reader is 50% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
29. 29.🎯 Diya’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
30. 30.🎯 Saanvi’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
31. 31.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
33. 33.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
34. 34.❌ Vihaan’s handwriting reader was tested on 48 new handwritten letters and got 46 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
36. 36.🎯 Vihaan’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
37. 37.📦 Rohan collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.🎯 Saanvi’s bird-song app is 70% accurate. If it is tested on 80 new bird songs, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
40. 40.📦 Meera collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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