Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 662 · 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 collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
2. 2.❌ Tara’s handwriting reader was tested on 27 new handwritten letters and got 20 right. How many did it get wrong?
3. 3.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
4. 4.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
6. 6.❌ Vihaan’s bird-song app was tested on 18 new bird songs and got 12 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
9. 9.❌ Saanvi’s bird-song app was tested on 38 new bird songs and got 35 right. How many did it get wrong?
10. 10.🎯 Arjun’s spam spotter was tested on 25 new messages and got 25 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
12. 12.🎯 Aarav’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
13. 13.🎯 Ananya’s recycling sorter was tested on 50 new waste photos and got 25 right. What is its accuracy in percent?
14. 14.📦 Meera collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.📦 Diya collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Saanvi’s recycling sorter was tested on 10 new waste photos and got 8 right. What is its accuracy in percent?
17. 17.❌ Rohan’s fruit sorter was tested on 41 new fruit photos and got 35 right. How many did it get wrong?
18. 18.🎯 Diya’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
19. 19.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
20. 20.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
21. 21.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
22. 22.🎯 Kabir’s handwriting reader was tested on 25 new handwritten letters and got 25 right. What is its accuracy in percent?
23. 23.❌ Ishaan’s bird-song app was tested on 21 new bird songs and got 20 right. How many did it get wrong?
24. 24.📦 Arjun collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
25. 25.📦 Arjun collected 40 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 — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
27. 27.🎯 Meera’s bird-song app is 80% accurate. If it is tested on 30 new bird songs, how many should it get right?
28. 28.❌ Ananya’s handwriting reader was tested on 22 new handwritten letters and got 16 right. How many did it get wrong?
29. 29.❌ Ananya’s recycling sorter was tested on 31 new waste photos and got 22 right. How many did it get wrong?
30. 30.📦 Nisha collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Rohan’s bird-song app is 50% accurate. If it is tested on 40 new bird songs, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
33. 33.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
34. 34.❌ Ananya’s recycling sorter was tested on 39 new waste photos and got 38 right. How many did it get wrong?
35. 35.❌ Ishaan’s fruit sorter was tested on 31 new fruit photos and got 29 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
37. 37.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
38. 38.📋 Planning an AI project: which comes first — gather many examples or fix it and test again? (a) gather many examples (b) fix it and test again
39. 39.🎯 Rohan’s bird-song app was tested on 25 new bird songs and got 17 right. What is its accuracy in percent?
40. 40.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?

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