← 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 880 · 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.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
  2. 2.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
  3. 3.🎯 Diya’s bird-song app is 90% accurate. If it is tested on 100 new bird songs, how many should it get right?
  4. 4.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  5. 5.🎯 Ananya’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
  6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
  7. 7.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  8. 8.🎯 Ananya’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
  9. 9.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
  10. 10.📦 Diya collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  11. 11.❌ Vihaan’s bird-song app was tested on 34 new bird songs and got 25 right. How many did it get wrong?
  12. 12.🎯 Ishaan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
  13. 13.📦 Meera collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  14. 14.📦 Vihaan collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  15. 15.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
  16. 16.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
  17. 17.📦 Aarav collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  18. 18.❌ Meera’s spam spotter was tested on 27 new messages and got 23 right. How many did it get wrong?
  19. 19.🎯 Kabir’s bird-song app was tested on 10 new bird songs and got 8 right. What is its accuracy in percent?
  20. 20.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
  21. 21.📦 Meera collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  22. 22.📦 Vihaan collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  23. 23.📦 Rohan collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  24. 24.❌ Meera’s bird-song app was tested on 38 new bird songs and got 30 right. How many did it get wrong?
  25. 25.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
  26. 26.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
  27. 27.🎯 Tara’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  28. 28.🎯 Meera’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
  29. 29.🎯 Aarav’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
  30. 30.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
  31. 31.🎯 Rohan’s recycling sorter is 90% accurate. If it is tested on 90 new waste photos, how many should it get right?
  32. 32.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
  33. 33.🎯 Diya’s handwriting reader is 90% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
  34. 34.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
  35. 35.❌ Vihaan’s bird-song app was tested on 23 new bird songs and got 14 right. How many did it get wrong?
  36. 36.📋 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
  37. 37.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
  38. 38.🎯 Nisha’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
  39. 39.🎯 Saanvi’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
  40. 40.📋 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

Answer key

  1. split train and test
  2. correct bad labels
  3. 90
  4. 18
  5. 100
  6. to see if it learned
  7. work out the accuracy
  8. 60
  9. pick a question to solve
  10. 80
  11. 9
  12. 50
  13. 120
  14. 72
  15. let it learn patterns
  16. set aside test photos
  17. 152
  18. 4
  19. 80
  20. paper and examples
  21. 56
  22. 56
  23. 120
  24. 8
  25. pick a question to solve
  26. 30
  27. 15
  28. 100
  29. 50
  30. 60
  31. 81
  32. more labelled examples
  33. 72
  34. correct ÷ total × 100
  35. 9
  36. let it learn patterns
  37. gather many examples
  38. 24
  39. 90
  40. work out the accuracy

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