← Design a tiny AI project lesson New set →

Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 811 · 40 questions
TalentJR

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.

NameDateTime takenScore ___ / 40
  1. 1.🎯 Aarav’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
  2. 2.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
  3. 3.🧪 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
  4. 4.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
  5. 5.🎯 Aarav’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
  6. 6.📦 Meera collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  7. 7.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
  8. 8.📦 Nisha collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  9. 9.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
  10. 10.🧪 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 save paper (d) to make it bigger
  11. 11.📦 Rohan collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  12. 12.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 30 right. What is its accuracy in percent?
  13. 13.📋 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
  14. 14.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
  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.📦 Vihaan collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  17. 17.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 38 right and Model B got 29 right. How many percentage points more accurate is Model A?
  18. 18.🎯 Nisha’s handwriting reader is 90% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
  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 — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
  21. 21.❌ Rohan’s fruit sorter was tested on 30 new fruit photos and got 26 right. How many did it get wrong?
  22. 22.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 46 right and Model B got 29 right. How many percentage points more accurate is Model A?
  23. 23.❌ Meera’s leaf identifier was tested on 18 new leaf photos and got 14 right. How many did it get wrong?
  24. 24.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
  25. 25.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
  26. 26.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
  27. 27.❌ Kabir’s recycling sorter was tested on 38 new waste photos and got 29 right. How many did it get wrong?
  28. 28.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
  29. 29.🎯 Tara’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
  30. 30.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
  31. 31.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
  32. 32.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  33. 33.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
  34. 34.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 28 right. What is its accuracy in percent?
  35. 35.❌ Nisha’s handwriting reader was tested on 49 new handwritten letters and got 43 right. How many did it get wrong?
  36. 36.🎯 Kabir’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
  37. 37.❌ Ishaan’s leaf identifier was tested on 30 new leaf photos and got 25 right. How many did it get wrong?
  38. 38.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  39. 39.🎯 Ishaan’s bird-song app is 60% accurate. If it is tested on 10 new bird songs, how many should it get right?
  40. 40.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels

Answer key

  1. 8
  2. pick a question to solve
  3. more labelled examples
  4. pick a question to solve
  5. 70
  6. 80
  7. set aside test photos
  8. 104
  9. 60
  10. to see if it learned
  11. 48
  12. 60
  13. test on new photos
  14. tag each photo by type
  15. test on new photos
  16. 96
  17. 18
  18. 72
  19. correct ÷ total × 100
  20. collect fruit photos
  21. 4
  22. 34
  23. 4
  24. test on new photos
  25. train the model
  26. paper and examples
  27. 9
  28. gather many examples
  29. 45
  30. test on new photos
  31. set aside test photos
  32. 18
  33. try unseen examples
  34. 56
  35. 6
  36. 12
  37. 5
  38. work out the accuracy
  39. 6
  40. correct bad labels

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