Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 700 · 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.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
2. 2.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
3. 3.🎯 Ananya’s handwriting reader was tested on 20 new handwritten letters and got 14 right. What is its accuracy in percent?
4. 4.🎯 Tara’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
5. 5.❌ Kabir’s spam spotter was tested on 32 new messages and got 25 right. How many did it get wrong?
6. 6.📋 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
7. 7.🎯 Rohan’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
8. 8.🧪 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 save paper (d) to make it bigger
9. 9.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
10. 10.❌ Vihaan’s fruit sorter was tested on 16 new fruit photos and got 11 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
12. 12.🎯 Diya’s fruit sorter was tested on 50 new fruit photos and got 42 right. What is its accuracy in percent?
13. 13.📦 Nisha collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 47 right and Model B got 45 right. How many percentage points more accurate is Model A?
15. 15.❌ Vihaan’s spam spotter was tested on 36 new messages and got 28 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
17. 17.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
19. 19.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
20. 20.❌ Nisha’s handwriting reader was tested on 30 new handwritten letters and got 28 right. How many did it get wrong?
21. 21.🎯 Ananya’s leaf identifier was tested on 25 new leaf photos and got 17 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
23. 23.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
24. 24.❌ Vihaan’s leaf identifier was tested on 49 new leaf photos and got 46 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
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.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
28. 28.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
29. 29.🎯 Diya’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
30. 30.🎯 Arjun’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
31. 31.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
32. 32.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
33. 33.🎯 Meera’s recycling sorter is 70% accurate. If it is tested on 80 new waste photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
35. 35.📋 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
36. 36.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
37. 37.📋 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
38. 38.❌ Nisha’s bird-song app was tested on 41 new bird songs and got 34 right. How many did it get wrong?
39. 39.🎯 Ishaan’s bird-song app is 90% accurate. If it is tested on 30 new bird songs, how many should it get right?
40. 40.📦 Kabir collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?

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