Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 298 · 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.🎯 Ishaan’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
2. 2.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 21 right and Model B got 18 right. How many percentage points more accurate is Model A?
3. 3.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
4. 4.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
5. 5.❌ Kabir’s bird-song app was tested on 29 new bird songs and got 26 right. How many did it get wrong?
6. 6.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 36 right. What is its accuracy in percent?
7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
8. 8.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
10. 10.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
11. 11.❌ Rohan’s handwriting reader was tested on 28 new handwritten letters and got 27 right. How many did it get wrong?
12. 12.📋 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
13. 13.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
14. 14.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
15. 15.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
16. 16.🎯 Vihaan’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
17. 17.❌ Meera’s recycling sorter was tested on 38 new waste photos and got 29 right. How many did it get wrong?
18. 18.⚖️ 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?
19. 19.📦 Tara collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
20. 20.📦 Rohan collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
21. 21.📦 Kabir collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
23. 23.🧪 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
24. 24.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
25. 25.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
26. 26.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
28. 28.🎯 Diya’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
30. 30.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
31. 31.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
32. 32.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
33. 33.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
34. 34.🎯 Nisha’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
36. 36.❌ Meera’s recycling sorter was tested on 33 new waste photos and got 25 right. How many did it get wrong?
37. 37.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
39. 39.🎯 Aarav’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
40. 40.📦 Rohan collected 190 labelled leaf photos for a leaf identifier 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