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 — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
- 2.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
- 3.📦 Aarav collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 4.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
- 5.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
- 6.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
- 7.📋 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
- 8.🎯 Ishaan’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
- 9.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
- 10.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
- 11.🎯 Aarav’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
- 12.🎯 Ishaan’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
- 13.📦 Diya collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 14.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
- 15.📦 Rohan collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 16.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 47 right and Model B got 34 right. How many percentage points more accurate is Model A?
- 17.📦 Rohan collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 18.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 19.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
- 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.🎯 Arjun’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
- 22.🧪 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
- 23.📦 Diya collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 24.🧪 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
- 25.📋 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
- 26.🎯 Nisha’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
- 27.📋 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
- 28.🎯 Ishaan’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
- 29.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
- 30.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
- 31.❌ Nisha’s spam spotter was tested on 44 new messages and got 42 right. How many did it get wrong?
- 32.🎯 Kabir’s recycling sorter was tested on 25 new waste photos and got 16 right. What is its accuracy in percent?
- 33.🎯 Rohan’s spam spotter is 70% accurate. If it is tested on 20 new messages, how many should it get right?
- 34.🎯 Aarav’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
- 35.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
- 36.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
- 37.📦 Rohan collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 38.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 39.❌ Nisha’s spam spotter was tested on 43 new messages and got 41 right. How many did it get wrong?
- 40.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
Answer key
- test on new photos
- 63
- 112
- train the model
- train the model
- pick a question to solve
- calculate percent right
- 5
- correct bad labels
- 50
- 75
- 8
- 40
- choose what to sort
- 72
- 26
- 56
- 10
- split train and test
- tag each photo by type
- 76
- to see if it learned
- 80
- more labelled examples
- pick a question to solve
- 18
- split train and test
- 72
- paper and examples
- correct ÷ total × 100
- 2
- 64
- 14
- 100
- recheck every label
- label each example
- 64
- work out the accuracy
- 2
- train the model
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students