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.❌ Kabir’s bird-song app was tested on 35 new bird songs and got 29 right. How many did it get wrong?
- 2.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
- 3.🎯 Aarav’s handwriting reader is 50% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
- 4.🎯 Ishaan’s leaf identifier is 60% accurate. If it is tested on 40 new leaf photos, how many should it get right?
- 5.📋 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
- 6.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
- 7.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
- 8.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
- 9.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
- 10.🎯 Meera’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
- 11.📦 Kabir collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 12.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
- 13.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
- 14.🎯 Nisha’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
- 15.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
- 16.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
- 17.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 18.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 19.🎯 Aarav’s handwriting reader is 90% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
- 20.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 21.📦 Nisha collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
- 23.🎯 Nisha’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
- 24.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
- 25.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 28 right. What is its accuracy in percent?
- 26.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
- 27.🎯 Vihaan’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
- 28.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
- 29.🎯 Vihaan’s handwriting reader was tested on 50 new handwritten letters and got 48 right. What is its accuracy in percent?
- 30.🎯 Aarav’s handwriting reader was tested on 50 new handwritten letters and got 25 right. What is its accuracy in percent?
- 31.🎯 Diya’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
- 32.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples
- 33.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
- 34.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
- 35.❌ Rohan’s leaf identifier was tested on 46 new leaf photos and got 44 right. How many did it get wrong?
- 36.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
- 37.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
- 38.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
- 39.📦 Rohan collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 40.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 17 right. What is its accuracy in percent?
Answer key
- 6
- calculate percent right
- 40
- 24
- calculate percent right
- let it learn patterns
- choose what to sort
- label each example
- split train and test
- 100
- 40
- split train and test
- recheck every label
- 24
- correct ÷ total × 100
- paper and examples
- 40
- 25
- 18
- 28
- 80
- more labelled examples
- 60
- correct bad labels
- 56
- train the model
- 75
- to see if it learned
- 96
- 50
- 72
- gather many examples
- collect fruit photos
- gather many examples
- 2
- train the model
- test on new photos
- let it learn patterns
- 112
- 68
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students