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 — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
- 2.📋 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
- 3.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
- 4.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 5.🎯 Kabir’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
- 6.🎯 Ananya’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
- 7.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 8.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 9.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
- 10.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
- 11.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
- 12.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
- 13.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
- 14.📦 Nisha collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 15.🎯 Aarav’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
- 16.🎯 Ananya’s spam spotter is 70% accurate. If it is tested on 40 new messages, how many should it get right?
- 17.🎯 Ananya’s fruit sorter was tested on 25 new fruit photos and got 25 right. What is its accuracy in percent?
- 18.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
- 19.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
- 20.📋 Planning an AI project: which comes first — let it learn patterns or gather many examples? (a) let it learn patterns (b) gather many examples
- 21.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
- 22.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
- 23.🎯 Tara’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
- 24.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
- 25.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
- 26.❌ Saanvi’s fruit sorter was tested on 49 new fruit photos and got 43 right. How many did it get wrong?
- 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
- 28.📦 Diya collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 29.🎯 Saanvi’s bird-song app is 90% accurate. If it is tested on 90 new bird songs, how many should it get right?
- 30.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 31.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
- 32.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 33.📦 Aarav collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 34.❌ Arjun’s spam spotter was tested on 15 new messages and got 10 right. How many did it get wrong?
- 35.❌ Meera’s recycling sorter was tested on 21 new waste photos and got 19 right. How many did it get wrong?
- 36.📋 Planning an AI project: which comes first — let it learn patterns or choose what to sort? (a) let it learn patterns (b) choose what to sort
- 37.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
- 38.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
- 39.📦 Ishaan collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 40.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
Answer key
- let it learn patterns
- set aside test photos
- paper and examples
- 10
- 30
- 60
- 10
- work out the accuracy
- correct ÷ total × 100
- choose what to sort
- pick a question to solve
- pick a question to solve
- to see if it learned
- 136
- 12
- 28
- 100
- label each example
- correct bad labels
- gather many examples
- gather many examples
- collect fruit photos
- 50
- 12
- train the model
- 6
- more labelled examples
- 48
- 81
- 5
- 100
- 5
- 104
- 5
- 2
- choose what to sort
- collect fruit photos
- train the model
- 48
- split train and test
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students