Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 979 · 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.❌ Diya’s bird-song app was tested on 39 new bird songs and got 31 right. How many did it get wrong?
2. 2.🎯 Diya’s bird-song app is 90% accurate. If it is tested on 10 new bird songs, how many should it get right?
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
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.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 21 right and Model B got 14 right. How many percentage points more accurate is Model A?
6. 6.📦 Ananya collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.📦 Rohan collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.📦 Ishaan collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 42 right and Model B got 36 right. How many percentage points more accurate is Model A?
10. 10.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
11. 11.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
13. 13.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
14. 14.🎯 Diya’s spam spotter is 80% accurate. If it is tested on 40 new messages, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
16. 16.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
17. 17.❌ Meera’s spam spotter was tested on 22 new messages and got 13 right. How many did it get wrong?
18. 18.🎯 Arjun’s bird-song app was tested on 20 new bird songs and got 10 right. What is its accuracy in percent?
19. 19.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
20. 20.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
21. 21.🎯 Meera’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
22. 22.📦 Vihaan collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
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.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
25. 25.📋 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
26. 26.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
27. 27.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
28. 28.❌ Kabir’s recycling sorter was tested on 25 new waste photos and got 22 right. How many did it get wrong?
29. 29.🎯 Nisha’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
30. 30.📦 Vihaan collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
32. 32.🎯 Arjun’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
33. 33.🎯 Vihaan’s spam spotter is 80% accurate. If it is tested on 30 new messages, how many should it get right?
34. 34.📋 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
35. 35.❌ Saanvi’s recycling sorter was tested on 39 new waste photos and got 35 right. How many did it get wrong?
36. 36.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 80 new messages, how many should it get right?
37. 37.📦 Ishaan collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Ananya’s spam spotter was tested on 17 new messages and got 11 right. How many did it get wrong?
39. 39.🎯 Ishaan’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
40. 40.❌ Meera’s fruit sorter was tested on 45 new fruit photos and got 36 right. How many did it get wrong?

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