Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 470 · 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.📦 Kabir collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
2. 2.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
3. 3.🎯 Saanvi’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
5. 5.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
6. 6.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
7. 7.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
8. 8.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
10. 10.🎯 Meera’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
11. 11.🎯 Vihaan’s handwriting reader was tested on 25 new handwritten letters and got 21 right. What is its accuracy in percent?
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
13. 13.❌ Tara’s fruit sorter was tested on 20 new fruit photos and got 12 right. How many did it get wrong?
14. 14.🎯 Nisha’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
15. 15.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
16. 16.📦 Arjun collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
18. 18.❌ Ananya’s bird-song app was tested on 45 new bird songs and got 41 right. How many did it get wrong?
19. 19.❌ Vihaan’s handwriting reader was tested on 35 new handwritten letters and got 27 right. How many did it get wrong?
20. 20.❌ Ananya’s fruit sorter was tested on 47 new fruit photos and got 40 right. How many did it get wrong?
21. 21.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
22. 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
23. 23.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
24. 24.❌ Diya’s bird-song app was tested on 18 new bird songs and got 14 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
26. 26.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
27. 27.❌ Tara’s spam spotter was tested on 38 new messages and got 35 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
29. 29.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
30. 30.📦 Ishaan collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Ananya’s spam spotter was tested on 50 new messages and got 46 right. What is its accuracy in percent?
32. 32.🎯 Aarav’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
33. 33.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 45 right and Model B got 43 right. How many percentage points more accurate is Model A?
34. 34.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
35. 35.🎯 Diya’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
36. 36.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 10 right. How many percentage points more accurate is Model A?
37. 37.❌ Aarav’s recycling sorter was tested on 14 new waste photos and got 11 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
39. 39.📦 Meera collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
40. 40.❌ Nisha’s recycling sorter was tested on 49 new waste photos and got 41 right. How many did it get wrong?

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