Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 821 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
2. 2.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
3. 3.🎯 Arjun’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
4. 4.📦 Rohan collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
5. 5.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 20 right. How many percentage points more accurate is Model A?
6. 6.❌ Vihaan’s fruit sorter was tested on 47 new fruit photos and got 44 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
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.🎯 Aarav’s recycling sorter is 90% accurate. If it is tested on 50 new waste photos, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
12. 12.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
13. 13.🎯 Nisha’s handwriting reader was tested on 20 new handwritten letters and got 10 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
15. 15.📋 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
16. 16.🎯 Diya’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
18. 18.❌ Rohan’s leaf identifier was tested on 22 new leaf photos and got 15 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
20. 20.🎯 Diya’s handwriting reader was tested on 50 new handwritten letters and got 33 right. What is its accuracy in percent?
21. 21.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
22. 22.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
23. 23.🎯 Tara’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
24. 24.📋 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
25. 25.📦 Vihaan collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
27. 27.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
29. 29.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
30. 30.❌ Diya’s fruit sorter was tested on 23 new fruit photos and got 14 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
32. 32.📦 Ananya collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
33. 33.❌ Arjun’s leaf identifier was tested on 48 new leaf photos and got 39 right. How many did it get wrong?
34. 34.❌ Arjun’s recycling sorter was tested on 30 new waste photos and got 24 right. How many did it get wrong?
35. 35.🎯 Tara’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
37. 37.❌ Kabir’s leaf identifier was tested on 44 new leaf photos and got 41 right. How many did it get wrong?
38. 38.📋 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
39. 39.📋 Planning an AI project: which comes first — fix it and test again or choose what to sort? (a) fix it and test again (b) choose what to sort
40. 40.📦 Ishaan collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

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