Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 946 · 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.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
2. 2.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
3. 3.🎯 Tara’s bird-song app was tested on 50 new bird songs and got 34 right. What is its accuracy in percent?
4. 4.📦 Aarav collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
7. 7.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
8. 8.🎯 Arjun’s handwriting reader was tested on 50 new handwritten letters and got 47 right. What is its accuracy in percent?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
10. 10.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
12. 12.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
13. 13.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
15. 15.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
16. 16.📦 Tara collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 23 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
19. 19.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
20. 20.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
21. 21.📦 Diya collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
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 — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
24. 24.🎯 Kabir’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
26. 26.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
27. 27.📦 Ishaan collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Diya’s leaf identifier was tested on 50 new leaf photos and got 39 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
30. 30.❌ Ananya’s recycling sorter was tested on 26 new waste photos and got 20 right. How many did it get wrong?
31. 31.❌ Aarav’s fruit sorter was tested on 33 new fruit photos and got 25 right. How many did it get wrong?
32. 32.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
34. 34.❌ Nisha’s spam spotter was tested on 35 new messages and got 34 right. How many did it get wrong?
35. 35.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 10 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
37. 37.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
38. 38.❌ Arjun’s fruit sorter was tested on 35 new fruit photos and got 27 right. How many did it get wrong?
39. 39.❌ Meera’s spam spotter was tested on 30 new messages and got 24 right. How many did it get wrong?
40. 40.🎯 Ananya’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?

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