Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 602 · 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.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
2. 2.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
3. 3.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
4. 4.❌ Diya’s recycling sorter was tested on 15 new waste photos and got 13 right. How many did it get wrong?
5. 5.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
6. 6.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
8. 8.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
9. 9.🎯 Diya’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
11. 11.📦 Rohan collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Meera’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
13. 13.📋 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
14. 14.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 40 right and Model B got 38 right. How many percentage points more accurate is Model A?
15. 15.🎯 Aarav’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
17. 17.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
20. 20.🎯 Nisha’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
22. 22.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
23. 23.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
24. 24.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 70 new fruit photos, how many should it get right?
25. 25.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
26. 26.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
27. 27.🎯 Meera’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
29. 29.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
30. 30.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
31. 31.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
32. 32.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
33. 33.❌ Aarav’s spam spotter was tested on 23 new messages and got 14 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
35. 35.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
36. 36.🎯 Kabir’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
38. 38.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
40. 40.❌ Tara’s fruit sorter was tested on 25 new fruit photos and got 22 right. How many did it get wrong?

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