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.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
- 2.🎯 Vihaan’s bird-song app was tested on 25 new bird songs and got 25 right. What is its accuracy in percent?
- 3.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 11 right. How many percentage points more accurate is Model A?
- 4.🧪 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
- 5.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
- 6.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 38 right and Model B got 26 right. How many percentage points more accurate is Model A?
- 7.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
- 8.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
- 9.📦 Rohan collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 10.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
- 11.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
- 12.❌ Tara’s fruit sorter was tested on 31 new fruit photos and got 26 right. How many did it get wrong?
- 13.🎯 Nisha’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
- 14.📦 Arjun collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 15.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
- 16.❌ Tara’s bird-song app was tested on 39 new bird songs and got 32 right. How many did it get wrong?
- 17.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
- 18.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
- 19.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 21 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 20.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
- 21.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
- 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
- 23.🎯 Arjun’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?
- 24.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
- 25.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 26.❌ Tara’s handwriting reader was tested on 20 new handwritten letters and got 11 right. How many did it get wrong?
- 27.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
- 28.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
- 29.📦 Nisha collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 30.📋 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
- 31.🎯 Vihaan’s recycling sorter is 90% accurate. If it is tested on 20 new waste photos, how many should it get right?
- 32.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
- 33.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 34.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
- 35.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
- 36.❌ Kabir’s spam spotter was tested on 48 new messages and got 43 right. How many did it get wrong?
- 37.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 20 new messages, how many should it get right?
- 38.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
- 39.📋 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
- 40.📋 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
Answer key
- train the model
- 100
- 40
- to see if it learned
- gather many examples
- 24
- collect fruit photos
- collect fruit photos
- 136
- train the model
- split train and test
- 5
- 72
- 56
- paper and examples
- 7
- pick a question to solve
- recheck every label
- 8
- correct ÷ total × 100
- train the model
- more labelled examples
- 18
- test on new photos
- 30
- 9
- correct bad labels
- recheck every label
- 48
- tag each photo by type
- 18
- split train and test
- try unseen examples
- collect fruit photos
- recheck every label
- 5
- 16
- tag each photo by type
- calculate percent right
- tag each photo by type
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students