Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 334 · 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 fruit sorter models were tested on the same 50 fruit photos. Model A got 42 right and Model B got 29 right. How many percentage points more accurate is Model A?
2. 2.⚖️ 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?
3. 3.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
4. 4.❌ Ishaan’s leaf identifier was tested on 22 new leaf photos and got 16 right. How many did it get wrong?
5. 5.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
6. 6.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
7. 7.📋 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
8. 8.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 47 right and Model B got 40 right. How many percentage points more accurate is Model A?
9. 9.📋 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
10. 10.🎯 Aarav’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
12. 12.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
13. 13.❌ Tara’s fruit sorter was tested on 20 new fruit photos and got 16 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (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.🎯 Ishaan’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
17. 17.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
18. 18.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
19. 19.❌ Meera’s spam spotter was tested on 27 new messages and got 22 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
21. 21.❌ Aarav’s recycling sorter was tested on 33 new waste photos and got 26 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
23. 23.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
24. 24.❌ Tara’s fruit sorter was tested on 45 new fruit photos and got 43 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
26. 26.🎯 Tara’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
27. 27.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
28. 28.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
29. 29.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
30. 30.🧪 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
31. 31.🎯 Kabir’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
32. 32.🎯 Aarav’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
33. 33.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 16 right. What is its accuracy in percent?
34. 34.❌ Diya’s bird-song app was tested on 45 new bird songs and got 38 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
36. 36.❌ Ananya’s handwriting reader was tested on 29 new handwritten letters and got 20 right. How many did it get wrong?
37. 37.📦 Kabir collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Tara’s handwriting reader was tested on 49 new handwritten letters and got 45 right. How many did it get wrong?
39. 39.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 12 right and Model B got 10 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos

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