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 — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
- 2.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
- 3.❌ Aarav’s bird-song app was tested on 26 new bird songs and got 25 right. How many did it get wrong?
- 4.🎯 Ishaan’s fruit sorter was tested on 50 new fruit photos and got 40 right. What is its accuracy in percent?
- 5.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
- 6.❌ Aarav’s bird-song app was tested on 37 new bird songs and got 29 right. How many did it get wrong?
- 7.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
- 8.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
- 9.🧪 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
- 10.🧪 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
- 11.❌ Meera’s spam spotter was tested on 22 new messages and got 15 right. How many did it get wrong?
- 12.🎯 Nisha’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?
- 13.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 23 right. What is its accuracy in percent?
- 14.🎯 Tara’s fruit sorter was tested on 25 new fruit photos and got 14 right. What is its accuracy in percent?
- 15.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
- 16.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
- 17.❌ Aarav’s leaf identifier was tested on 49 new leaf photos and got 47 right. How many did it get wrong?
- 18.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
- 19.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
- 20.🎯 Saanvi’s recycling sorter was tested on 50 new waste photos and got 29 right. What is its accuracy in percent?
- 21.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
- 22.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
- 23.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
- 24.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
- 25.❌ Diya’s leaf identifier was tested on 41 new leaf photos and got 37 right. How many did it get wrong?
- 26.🎯 Ananya’s bird-song app is 60% accurate. If it is tested on 100 new bird songs, how many should it get right?
- 27.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
- 28.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
- 29.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
- 30.📦 Meera collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 31.📦 Aarav collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 32.🎯 Diya’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?
- 33.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
- 34.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
- 35.📦 Rohan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 36.📦 Ananya collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 37.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
- 38.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
- 39.🎯 Tara’s recycling sorter was tested on 10 new waste photos and got 9 right. What is its accuracy in percent?
- 40.📦 Ishaan collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
Answer key
- choose what to sort
- set aside test photos
- 1
- 80
- paper and examples
- 8
- label each example
- pick a question to solve
- more labelled examples
- to see if it learned
- 7
- 30
- 92
- 56
- 27
- split train and test
- 2
- 5
- 40
- 58
- set aside test photos
- correct bad labels
- tag each photo by type
- 75
- 4
- 60
- collect fruit photos
- 50
- correct ÷ total × 100
- 40
- 160
- 54
- 100
- recheck every label
- 48
- 128
- pick a question to solve
- gather many examples
- 90
- 48
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students