Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 396 · 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.🎯 Nisha’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
2. 2.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
3. 3.🎯 Tara’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
5. 5.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
6. 6.🎯 Aarav’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
8. 8.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
10. 10.🎯 Nisha’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
12. 12.🎯 Aarav’s recycling sorter was tested on 25 new waste photos and got 24 right. What is its accuracy in percent?
13. 13.🎯 Aarav’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
15. 15.⚖️ 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?
16. 16.🎯 Aarav’s bird-song app was tested on 20 new bird songs and got 19 right. What is its accuracy in percent?
17. 17.📦 Ishaan collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
19. 19.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 45 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
21. 21.🎯 Tara’s spam spotter was tested on 25 new messages and got 14 right. What is its accuracy in percent?
22. 22.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
23. 23.📋 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
24. 24.🎯 Vihaan’s bird-song app was tested on 25 new bird songs and got 18 right. What is its accuracy in percent?
25. 25.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
26. 26.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
27. 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
28. 28.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
29. 29.📋 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
30. 30.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
31. 31.🎯 Rohan’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
33. 33.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 24 right. What is its accuracy in percent?
34. 34.📋 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
35. 35.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
36. 36.🎯 Ananya’s fruit sorter was tested on 50 new fruit photos and got 44 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
38. 38.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
39. 39.📋 Planning an AI project: which comes first — pick a question to solve or try unseen examples? (a) pick a question to solve (b) try unseen examples
40. 40.🎯 Vihaan’s handwriting reader is 70% accurate. If it is tested on 60 new handwritten letters, how many should it get right?

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