Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 285 · 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.🎯 Nisha’s bird-song app was tested on 50 new bird songs and got 42 right. What is its accuracy in percent?
2. 2.📋 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
3. 3.📋 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
4. 4.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
5. 5.📦 Kabir collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
6. 6.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
8. 8.❌ Vihaan’s recycling sorter was tested on 32 new waste photos and got 31 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
10. 10.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
11. 11.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
12. 12.🎯 Meera’s bird-song app is 50% accurate. If it is tested on 10 new bird songs, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
14. 14.🧪 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
15. 15.🎯 Rohan’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
17. 17.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
18. 18.❌ Arjun’s bird-song app was tested on 23 new bird songs and got 21 right. How many did it get wrong?
19. 19.🎯 Kabir’s handwriting reader was tested on 50 new handwritten letters and got 38 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
21. 21.🎯 Saanvi’s bird-song app was tested on 20 new bird songs and got 17 right. What is its accuracy in percent?
22. 22.📦 Saanvi collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
23. 23.🎯 Ishaan’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
24. 24.🎯 Meera’s bird-song app was tested on 20 new bird songs and got 12 right. What is its accuracy in percent?
25. 25.❌ Diya’s leaf identifier was tested on 37 new leaf photos and got 29 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
27. 27.🎯 Kabir’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
28. 28.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
29. 29.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 30 new waste photos, how many should it get right?
30. 30.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
31. 31.📋 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
32. 32.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
33. 33.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 45 right and Model B got 30 right. How many percentage points more accurate is Model A?
34. 34.❌ Arjun’s bird-song app was tested on 22 new bird songs and got 21 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
36. 36.🎯 Tara’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
37. 37.🎯 Kabir’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
38. 38.🎯 Aarav’s handwriting reader is 70% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
39. 39.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
40. 40.🎯 Saanvi’s recycling sorter is 90% accurate. If it is tested on 50 new waste photos, how many should it get right?

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