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 — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
- 2.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
- 3.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
- 4.📋 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
- 5.❌ Vihaan’s handwriting reader was tested on 17 new handwritten letters and got 13 right. How many did it get wrong?
- 6.📦 Ananya collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 7.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
- 8.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
- 9.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 37 right. What is its accuracy in percent?
- 10.📦 Aarav collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 11.🎯 Arjun’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
- 12.📦 Vihaan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 13.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
- 14.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
- 15.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
- 16.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
- 17.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 90 new fruit photos, how many should it get right?
- 18.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
- 19.❌ Meera’s spam spotter was tested on 23 new messages and got 16 right. How many did it get wrong?
- 20.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 20 new fruit photos, how many should it get right?
- 21.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 22.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
- 23.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
- 24.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
- 25.🎯 Tara’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
- 26.❌ Rohan’s spam spotter was tested on 45 new messages and got 40 right. How many did it get wrong?
- 27.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 28.📋 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
- 29.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
- 30.❌ Saanvi’s bird-song app was tested on 38 new bird songs and got 34 right. How many did it get wrong?
- 31.📦 Kabir collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 32.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
- 33.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
- 34.🎯 Kabir’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
- 35.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 37 right and Model B got 26 right. How many percentage points more accurate is Model A?
- 36.🎯 Tara’s bird-song app is 80% accurate. If it is tested on 20 new bird songs, how many should it get right?
- 37.📋 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
- 38.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
- 39.❌ Meera’s spam spotter was tested on 46 new messages and got 43 right. How many did it get wrong?
- 40.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
Answer key
- pick a question to solve
- correct ÷ total × 100
- to see if it learned
- work out the accuracy
- 4
- 32
- train the model
- work out the accuracy
- 74
- 160
- 75
- 48
- let it learn patterns
- pick a question to solve
- recheck every label
- choose what to sort
- 63
- split train and test
- 7
- 16
- 10
- pick a question to solve
- choose what to sort
- set aside test photos
- 100
- 5
- calculate percent right
- pick a question to solve
- correct bad labels
- 4
- 64
- train the model
- label each example
- 60
- 22
- 16
- pick a question to solve
- collect fruit photos
- 3
- paper and examples
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students