Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 725 · 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 — correct bad labels or train the model? (a) correct bad labels (b) train the model
2. 2.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
3. 3.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
5. 5.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
6. 6.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
7. 7.🎯 Aarav’s recycling sorter was tested on 10 new waste photos and got 9 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
9. 9.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
10. 10.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
11. 11.❌ Aarav’s recycling sorter was tested on 30 new waste photos and got 23 right. How many did it get wrong?
12. 12.🎯 Vihaan’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
14. 14.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
15. 15.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 30 right. How many percentage points more accurate is Model A?
16. 16.🎯 Aarav’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
17. 17.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
18. 18.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
19. 19.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
21. 21.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
22. 22.❌ Rohan’s spam spotter was tested on 38 new messages and got 36 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
24. 24.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
25. 25.🎯 Kabir’s leaf identifier is 70% accurate. If it is tested on 90 new leaf photos, how many should it get right?
26. 26.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
27. 27.📦 Ishaan collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
28. 28.❌ Aarav’s spam spotter was tested on 23 new messages and got 22 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
30. 30.🎯 Vihaan’s fruit sorter was tested on 10 new fruit photos and got 8 right. What is its accuracy in percent?
31. 31.❌ Kabir’s leaf identifier was tested on 48 new leaf photos and got 44 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
33. 33.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
34. 34.🎯 Saanvi’s bird-song app is 90% accurate. If it is tested on 10 new bird songs, how many should it get right?
35. 35.🎯 Ishaan’s leaf identifier is 70% accurate. If it is tested on 100 new leaf photos, how many should it get right?
36. 36.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
37. 37.🎯 Vihaan’s bird-song app is 80% accurate. If it is tested on 50 new bird songs, how many should it get right?
38. 38.📋 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
39. 39.🧪 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
40. 40.❌ Nisha’s fruit sorter was tested on 42 new fruit photos and got 35 right. How many did it get wrong?

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