Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 791 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
2. 2.🧪 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
3. 3.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
4. 4.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 43 right. What is its accuracy in percent?
5. 5.🎯 Arjun’s bird-song app is 60% accurate. If it is tested on 80 new bird songs, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
7. 7.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 24 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
9. 9.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
10. 10.📦 Tara collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
11. 11.🎯 Kabir’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
12. 12.🎯 Diya’s bird-song app was tested on 50 new bird songs and got 28 right. What is its accuracy in percent?
13. 13.🎯 Ananya’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
14. 14.🎯 Ishaan’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
15. 15.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 16 right and Model B got 11 right. How many percentage points more accurate is Model A?
16. 16.🎯 Ishaan’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
17. 17.❌ Rohan’s fruit sorter was tested on 28 new fruit photos and got 23 right. How many did it get wrong?
18. 18.❌ Arjun’s fruit sorter was tested on 18 new fruit photos and got 14 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
20. 20.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 22 right and Model B got 13 right. How many percentage points more accurate is Model A?
21. 21.🎯 Nisha’s spam spotter is 70% accurate. If it is tested on 50 new messages, how many should it get right?
22. 22.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
23. 23.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
25. 25.🎯 Aarav’s bird-song app is 90% accurate. If it is tested on 50 new bird songs, how many should it get right?
26. 26.📦 Ananya collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 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
28. 28.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
29. 29.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
30. 30.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
31. 31.🎯 Meera’s bird-song app was tested on 20 new bird songs and got 15 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
33. 33.📋 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
34. 34.📦 Arjun collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
35. 35.📦 Saanvi collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Aarav’s leaf identifier was tested on 50 new leaf photos and got 28 right. What is its accuracy in percent?
37. 37.🎯 Diya’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
38. 38.❌ Saanvi’s fruit sorter was tested on 18 new fruit photos and got 14 right. How many did it get wrong?
39. 39.🎯 Tara’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model

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