Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 672 · 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.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
2. 2.📋 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
3. 3.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
4. 4.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
5. 5.🎯 Tara’s recycling sorter is 90% accurate. If it is tested on 20 new waste photos, how many should it get right?
6. 6.🧪 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
7. 7.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
8. 8.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
9. 9.📦 Rohan collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.❌ Diya’s spam spotter was tested on 41 new messages and got 40 right. How many did it get wrong?
11. 11.🧪 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
12. 12.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
13. 13.🎯 Saanvi’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
14. 14.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
15. 15.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
16. 16.🎯 Rohan’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
18. 18.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
19. 19.🎯 Meera’s bird-song app was tested on 50 new bird songs and got 46 right. What is its accuracy in percent?
20. 20.🎯 Arjun’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
21. 21.🎯 Nisha’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
23. 23.📦 Arjun collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 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
25. 25.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
26. 26.🎯 Diya’s handwriting reader was tested on 25 new handwritten letters and got 22 right. What is its accuracy in percent?
27. 27.🎯 Ananya’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
28. 28.🎯 Ananya’s fruit sorter was tested on 10 new fruit photos and got 8 right. What is its accuracy in percent?
29. 29.🎯 Vihaan’s leaf identifier was tested on 20 new leaf photos and got 15 right. What is its accuracy in percent?
30. 30.🎯 Saanvi’s handwriting reader is 60% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
31. 31.🎯 Tara’s spam spotter is 80% accurate. If it is tested on 20 new messages, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
33. 33.📦 Nisha collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
35. 35.❌ Arjun’s leaf identifier was tested on 37 new leaf photos and got 35 right. How many did it get wrong?
36. 36.🎯 Rohan’s recycling sorter was tested on 20 new waste photos and got 16 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
38. 38.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
39. 39.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
40. 40.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest

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