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.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
- 2.🧪 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
- 3.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
- 4.❌ Nisha’s handwriting reader was tested on 17 new handwritten letters and got 14 right. How many did it get wrong?
- 5.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
- 6.📦 Ananya collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
- 8.❌ Meera’s recycling sorter was tested on 20 new waste photos and got 14 right. How many did it get wrong?
- 9.🎯 Nisha’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
- 10.📦 Tara collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 11.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
- 12.🎯 Arjun’s leaf identifier is 80% accurate. If it is tested on 40 new leaf photos, how many should it get right?
- 13.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
- 14.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
- 15.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 16.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
- 17.📦 Rohan collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 18.📦 Ishaan collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 19.📦 Ananya collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 20.🎯 Meera’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
- 21.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
- 22.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
- 23.📋 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
- 24.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
- 25.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
- 26.🎯 Rohan’s bird-song app was tested on 25 new bird songs and got 19 right. What is its accuracy in percent?
- 27.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
- 28.🎯 Tara’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
- 29.🎯 Kabir’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
- 30.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
- 31.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
- 32.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
- 33.🎯 Rohan’s bird-song app was tested on 50 new bird songs and got 47 right. What is its accuracy in percent?
- 34.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
- 35.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
- 36.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 37.❌ Saanvi’s spam spotter was tested on 26 new messages and got 23 right. How many did it get wrong?
- 38.📦 Ishaan collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 39.❌ Arjun’s leaf identifier was tested on 43 new leaf photos and got 37 right. How many did it get wrong?
- 40.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
Answer key
- paper and examples
- more labelled examples
- test on new photos
- 3
- gather many examples
- 120
- to see if it learned
- 6
- 50
- 136
- collect fruit photos
- 32
- collect fruit photos
- correct ÷ total × 100
- calculate percent right
- correct bad labels
- 104
- 136
- 112
- 80
- pick a question to solve
- correct bad labels
- tag each photo by type
- collect fruit photos
- test on new photos
- 76
- 50
- 100
- 55
- 18
- train the model
- let it learn patterns
- 94
- gather many examples
- 60
- 28
- 3
- 80
- 6
- work out the accuracy
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students