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 recycling sorter was tested on 20 new waste photos and got 13 right. What is its accuracy in percent?
- 2.📦 Tara collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 3.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
- 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
- 5.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
- 6.❌ Diya’s recycling sorter was tested on 21 new waste photos and got 17 right. How many did it get wrong?
- 7.🎯 Diya’s bird-song app is 70% accurate. If it is tested on 60 new bird songs, how many should it get right?
- 8.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
- 9.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
- 10.❌ Vihaan’s bird-song app was tested on 45 new bird songs and got 39 right. How many did it get wrong?
- 11.🎯 Aarav’s recycling sorter is 60% accurate. If it is tested on 20 new waste photos, how many should it get right?
- 12.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
- 13.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
- 14.🎯 Ishaan’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
- 15.📦 Ananya collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 16.🎯 Kabir’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
- 17.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
- 18.🎯 Diya’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
- 19.🎯 Ananya’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
- 20.📦 Kabir collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 21.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
- 22.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
- 23.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
- 24.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
- 25.🎯 Arjun’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?
- 26.❌ Rohan’s spam spotter was tested on 22 new messages and got 18 right. How many did it get wrong?
- 27.📦 Ananya collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 28.❌ Nisha’s handwriting reader was tested on 48 new handwritten letters and got 41 right. How many did it get wrong?
- 29.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 30.❌ Nisha’s handwriting reader was tested on 21 new handwritten letters and got 19 right. How many did it get wrong?
- 31.❌ Meera’s recycling sorter was tested on 48 new waste photos and got 47 right. How many did it get wrong?
- 32.📦 Rohan collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 33.🎯 Meera’s recycling sorter was tested on 10 new waste photos and got 9 right. What is its accuracy in percent?
- 34.📦 Meera collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 35.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
- 36.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
- 37.🎯 Ananya’s recycling sorter is 90% accurate. If it is tested on 70 new waste photos, how many should it get right?
- 38.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
- 39.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
- 40.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
Answer key
- 65
- 56
- let it learn patterns
- more labelled examples
- correct bad labels
- 4
- 42
- recheck every label
- pick a question to solve
- 6
- 12
- tag each photo by type
- paper and examples
- 28
- 48
- 30
- correct ÷ total × 100
- 70
- 100
- 160
- collect fruit photos
- choose what to sort
- to see if it learned
- gather many examples
- 18
- 4
- 136
- 7
- work out the accuracy
- 2
- 1
- 96
- 90
- 48
- gather many examples
- choose what to sort
- 63
- label each example
- pick a question to solve
- train the model
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students