Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 197 · 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.🎯 Tara’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
2. 2.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
3. 3.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
4. 4.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
6. 6.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
7. 7.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
8. 8.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
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.🎯 Ishaan’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?
11. 11.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 37 right and Model B got 26 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
13. 13.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
14. 14.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
15. 15.🎯 Nisha’s spam spotter was tested on 25 new messages and got 15 right. What is its accuracy in percent?
16. 16.❌ Ishaan’s spam spotter was tested on 48 new messages and got 40 right. How many did it get wrong?
17. 17.🎯 Ishaan’s fruit sorter is 90% accurate. If it is tested on 70 new fruit photos, how many should it get right?
18. 18.❌ Kabir’s handwriting reader was tested on 36 new handwritten letters and got 32 right. How many did it get wrong?
19. 19.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 18 right and Model B got 12 right. How many percentage points more accurate is Model A?
20. 20.❌ Vihaan’s bird-song app was tested on 20 new bird songs and got 18 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
22. 22.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
23. 23.🎯 Arjun’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
24. 24.❌ Diya’s bird-song app was tested on 48 new bird songs and got 41 right. How many did it get wrong?
25. 25.🎯 Ananya’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
27. 27.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
28. 28.🎯 Nisha’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
29. 29.🎯 Meera’s recycling sorter is 80% accurate. If it is tested on 40 new waste photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
31. 31.📦 Arjun collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.❌ Nisha’s spam spotter was tested on 20 new messages and got 18 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
34. 34.🎯 Ananya’s recycling sorter was tested on 25 new waste photos and got 13 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
36. 36.📦 Rohan collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
38. 38.🎯 Kabir’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
39. 39.🎯 Ishaan’s bird-song app is 60% accurate. If it is tested on 40 new bird songs, how many should it get right?
40. 40.🎯 Meera’s bird-song app is 60% accurate. If it is tested on 10 new bird songs, how many should it get right?

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