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.❌ Meera’s fruit sorter was tested on 37 new fruit photos and got 32 right. How many did it get wrong?
- 2.❌ Tara’s handwriting reader was tested on 27 new handwritten letters and got 26 right. How many did it get wrong?
- 3.🧪 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
- 4.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
- 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
- 6.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 7.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
- 8.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
- 9.📦 Meera collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 10.🎯 Rohan’s recycling sorter was tested on 25 new waste photos and got 24 right. What is its accuracy in percent?
- 11.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
- 12.📋 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
- 13.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
- 14.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
- 15.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 43 right and Model B got 27 right. How many percentage points more accurate is Model A?
- 16.🎯 Rohan’s leaf identifier is 70% accurate. If it is tested on 10 new leaf photos, how many should it get right?
- 17.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
- 18.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
- 19.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
- 20.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
- 21.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 40 new bird songs, how many should it get right?
- 22.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
- 23.❌ Saanvi’s recycling sorter was tested on 38 new waste photos and got 29 right. How many did it get wrong?
- 24.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
- 25.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 26.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 27.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
- 28.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
- 29.🎯 Tara’s fruit sorter was tested on 20 new fruit photos and got 17 right. What is its accuracy in percent?
- 30.🎯 Meera’s handwriting reader is 60% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
- 31.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
- 32.📦 Arjun collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 33.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 34.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 14 right and Model B got 10 right. How many percentage points more accurate is Model A?
- 35.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
- 36.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
- 37.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
- 38.❌ Vihaan’s recycling sorter was tested on 29 new waste photos and got 20 right. How many did it get wrong?
- 39.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
- 40.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
Answer key
- 5
- 1
- paper and examples
- tag each photo by type
- more labelled examples
- 20
- train the model
- collect fruit photos
- 88
- 96
- try unseen examples
- pick a question to solve
- tag each photo by type
- correct ÷ total × 100
- 32
- 7
- recheck every label
- to see if it learned
- 25
- tag each photo by type
- 32
- tag each photo by type
- 9
- 30
- 10
- work out the accuracy
- split train and test
- 50
- 85
- 54
- work out the accuracy
- 112
- 20
- 20
- test on new photos
- choose what to sort
- collect fruit photos
- 9
- tag each photo by type
- set aside test photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students