Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 63 · 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) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
2. 2.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
3. 3.📋 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
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
5. 5.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
7. 7.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
8. 8.🎯 Arjun’s spam spotter was tested on 50 new messages and got 31 right. What is its accuracy in percent?
9. 9.❌ Meera’s bird-song app was tested on 46 new bird songs and got 44 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
11. 11.🎯 Aarav’s spam spotter was tested on 50 new messages and got 38 right. What is its accuracy in percent?
12. 12.🎯 Ishaan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
13. 13.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 40 new bird songs, how many should it get right?
14. 14.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 16 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
16. 16.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
17. 17.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
18. 18.📦 Tara collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Diya’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
20. 20.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 48 right and Model B got 43 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
22. 22.📦 Meera collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
24. 24.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
25. 25.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
26. 26.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
27. 27.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
28. 28.🎯 Kabir’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
29. 29.📦 Rohan collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Tara’s leaf identifier is 60% accurate. If it is tested on 60 new leaf photos, how many should it get right?
31. 31.🎯 Ishaan’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
32. 32.🎯 Rohan’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
33. 33.📦 Tara collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 100 new fruit photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
36. 36.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 11 right. How many percentage points more accurate is Model A?
37. 37.🎯 Kabir’s handwriting reader was tested on 25 new handwritten letters and got 18 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
39. 39.❌ Diya’s handwriting reader was tested on 19 new handwritten letters and got 13 right. How many did it get wrong?
40. 40.📦 Rohan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students