Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 368 · 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.📋 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
2. 2.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
3. 3.📋 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
4. 4.🧪 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
5. 5.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 31 right. How many percentage points more accurate is Model A?
6. 6.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
7. 7.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
9. 9.🎯 Tara’s spam spotter was tested on 25 new messages and got 13 right. What is its accuracy in percent?
10. 10.📋 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
11. 11.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
12. 12.❌ Saanvi’s handwriting reader was tested on 38 new handwritten letters and got 32 right. How many did it get wrong?
13. 13.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
14. 14.🎯 Nisha’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
15. 15.📦 Kabir collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
17. 17.🎯 Arjun’s handwriting reader is 80% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
18. 18.📦 Tara collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
20. 20.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
21. 21.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
22. 22.📦 Diya collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
24. 24.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
25. 25.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
26. 26.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
27. 27.📋 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
28. 28.🎯 Ishaan’s bird-song app was tested on 25 new bird songs and got 22 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
30. 30.❌ Kabir’s handwriting reader was tested on 23 new handwritten letters and got 16 right. How many did it get wrong?
31. 31.🧪 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
32. 32.📋 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
33. 33.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 32 right and Model B got 26 right. How many percentage points more accurate is Model A?
34. 34.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
35. 35.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
36. 36.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 21 right and Model B got 20 right. How many percentage points more accurate is Model A?
37. 37.🎯 Aarav’s bird-song app is 90% accurate. If it is tested on 30 new bird songs, how many should it get right?
38. 38.❌ Vihaan’s bird-song app was tested on 23 new bird songs and got 18 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
40. 40.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?

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