← 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 50 · 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 — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
  2. 2.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
  3. 3.🎯 Ishaan’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
  4. 4.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
  5. 5.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
  6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
  7. 7.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  8. 8.🎯 Arjun’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
  9. 9.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
  10. 10.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
  11. 11.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
  12. 12.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
  13. 13.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
  14. 14.🎯 Aarav’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
  15. 15.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
  16. 16.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
  17. 17.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
  18. 18.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
  19. 19.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
  20. 20.🎯 Saanvi’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
  21. 21.🧪 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
  22. 22.🎯 Ananya’s recycling sorter was tested on 50 new waste photos and got 32 right. What is its accuracy in percent?
  23. 23.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
  24. 24.❌ Saanvi’s spam spotter was tested on 29 new messages and got 23 right. How many did it get wrong?
  25. 25.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
  26. 26.❌ Ananya’s fruit sorter was tested on 44 new fruit photos and got 42 right. How many did it get wrong?
  27. 27.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
  28. 28.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
  29. 29.📦 Diya collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  30. 30.❌ Tara’s fruit sorter was tested on 33 new fruit photos and got 24 right. How many did it get wrong?
  31. 31.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
  32. 32.📦 Kabir collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  33. 33.📦 Ananya collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  34. 34.🎯 Ishaan’s recycling sorter was tested on 25 new waste photos and got 21 right. What is its accuracy in percent?
  35. 35.🎯 Ananya’s leaf identifier is 90% accurate. If it is tested on 30 new leaf photos, how many should it get right?
  36. 36.📦 Tara collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  37. 37.📦 Ishaan collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  38. 38.🎯 Nisha’s bird-song app is 80% accurate. If it is tested on 100 new bird songs, how many should it get right?
  39. 39.🎯 Ananya’s fruit sorter was tested on 20 new fruit photos and got 10 right. What is its accuracy in percent?
  40. 40.📦 Vihaan collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

Answer key

  1. collect fruit photos
  2. split train and test
  3. 75
  4. 4
  5. set aside test photos
  6. to see if it learned
  7. calculate percent right
  8. 50
  9. correct ÷ total × 100
  10. label each example
  11. try unseen examples
  12. gather many examples
  13. pick a question to solve
  14. 18
  15. choose what to sort
  16. 25
  17. correct bad labels
  18. 50
  19. set aside test photos
  20. 50
  21. more labelled examples
  22. 64
  23. paper and examples
  24. 6
  25. train the model
  26. 2
  27. try unseen examples
  28. 5
  29. 32
  30. 9
  31. 30
  32. 80
  33. 56
  34. 84
  35. 27
  36. 56
  37. 120
  38. 80
  39. 50
  40. 80

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