Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 271 · 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.🧪 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
2. 2.📋 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
3. 3.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
4. 4.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
5. 5.🎯 Vihaan’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
7. 7.❌ Ishaan’s recycling sorter was tested on 26 new waste photos and got 21 right. How many did it get wrong?
8. 8.🧪 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
9. 9.❌ Rohan’s leaf identifier was tested on 18 new leaf photos and got 13 right. How many did it get wrong?
10. 10.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
11. 11.📦 Nisha collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
13. 13.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
14. 14.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
15. 15.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
16. 16.❌ Meera’s recycling sorter was tested on 47 new waste photos and got 44 right. How many did it get wrong?
17. 17.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
18. 18.🎯 Tara’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
20. 20.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
21. 21.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
22. 22.❌ Aarav’s recycling sorter was tested on 41 new waste photos and got 40 right. How many did it get wrong?
23. 23.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 37 right and Model B got 31 right. How many percentage points more accurate is Model A?
24. 24.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
25. 25.📋 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
26. 26.❌ Kabir’s leaf identifier was tested on 48 new leaf photos and got 39 right. How many did it get wrong?
27. 27.❌ Nisha’s recycling sorter was tested on 50 new waste photos and got 49 right. How many did it get wrong?
28. 28.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
29. 29.🎯 Arjun’s fruit sorter was tested on 50 new fruit photos and got 49 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
31. 31.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
32. 32.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
33. 33.🧪 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
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.❌ Vihaan’s fruit sorter was tested on 31 new fruit photos and got 29 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
37. 37.📋 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
38. 38.❌ Nisha’s spam spotter was tested on 41 new messages and got 38 right. How many did it get wrong?
39. 39.❌ Nisha’s handwriting reader was tested on 41 new handwritten letters and got 37 right. How many did it get wrong?
40. 40.🎯 Kabir’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?

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