Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 857 · 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 — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
2. 2.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
4. 4.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
5. 5.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
6. 6.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
7. 7.❌ Nisha’s bird-song app was tested on 20 new bird songs and got 19 right. How many did it get wrong?
8. 8.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
9. 9.📋 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
10. 10.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
11. 11.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
12. 12.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
13. 13.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
14. 14.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
15. 15.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
16. 16.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
17. 17.🎯 Diya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
18. 18.📋 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
19. 19.🎯 Ananya’s leaf identifier is 90% accurate. If it is tested on 50 new leaf photos, how many should it get right?
20. 20.❌ Rohan’s fruit sorter was tested on 45 new fruit photos and got 36 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
22. 22.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
23. 23.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
24. 24.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
25. 25.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
26. 26.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
28. 28.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
29. 29.📋 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
30. 30.🎯 Nisha’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
31. 31.🎯 Vihaan’s handwriting reader is 60% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
33. 33.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
34. 34.🎯 Ishaan’s spam spotter is 60% accurate. If it is tested on 20 new messages, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
36. 36.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
37. 37.🧪 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
38. 38.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
39. 39.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
40. 40.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos

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