Build Your Own AI Project Worksheet
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.📦 Kabir collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 2.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
- 3.📦 Saanvi collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 4.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 5.❌ Diya’s spam spotter was tested on 23 new messages and got 18 right. How many did it get wrong?
- 6.📋 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
- 7.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
- 8.🎯 Kabir’s recycling sorter was tested on 20 new waste photos and got 10 right. What is its accuracy in percent?
- 9.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
- 10.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
- 11.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
- 12.🧪 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 faster (d) to make it bigger
- 13.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again
- 14.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 15.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
- 16.🎯 Ananya’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
- 17.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
- 18.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 28 right and Model B got 26 right. How many percentage points more accurate is Model A?
- 19.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
- 20.🎯 Aarav’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
- 21.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
- 22.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
- 23.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
- 24.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
- 25.⚖️ 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?
- 26.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
- 27.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
- 28.📦 Tara collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 29.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
- 30.❌ Meera’s leaf identifier was tested on 29 new leaf photos and got 20 right. How many did it get wrong?
- 31.📦 Ishaan collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 32.📦 Aarav collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 33.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
- 34.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
- 35.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
- 36.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
- 37.📋 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
- 38.❌ Kabir’s fruit sorter was tested on 50 new fruit photos and got 48 right. How many did it get wrong?
- 39.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
- 40.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
Answer key
- 144
- paper and examples
- 88
- try unseen examples
- 5
- choose what to sort
- train the model
- 50
- collect fruit photos
- collect fruit photos
- recheck every label
- to see if it learned
- label each example
- 50
- try unseen examples
- 5
- more labelled examples
- 4
- 5
- 85
- train the model
- recheck every label
- correct bad labels
- correct ÷ total × 100
- 8
- choose what to sort
- choose what to sort
- 144
- 75
- 9
- 48
- 152
- test on new photos
- test on new photos
- label each example
- train the model
- test on new photos
- 2
- split train and test
- calculate percent right
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students