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 — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
- 2.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
- 3.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
- 4.📦 Ananya collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 5.🧪 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
- 6.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
- 7.🎯 Aarav’s bird-song app is 50% accurate. If it is tested on 40 new bird songs, how many should it get right?
- 8.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
- 9.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 10 right. How many percentage points more accurate is Model A?
- 10.❌ Kabir’s fruit sorter was tested on 32 new fruit photos and got 23 right. How many did it get wrong?
- 11.📋 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
- 12.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 13.🎯 Meera’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
- 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
- 15.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
- 16.🎯 Diya’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
- 17.🎯 Nisha’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
- 18.📦 Kabir collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 19.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 27 right. What is its accuracy in percent?
- 20.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
- 21.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
- 22.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
- 23.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
- 24.🎯 Kabir’s handwriting reader was tested on 25 new handwritten letters and got 20 right. What is its accuracy in percent?
- 25.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
- 26.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 27.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
- 28.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
- 29.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
- 30.📦 Nisha collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 31.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 43 right and Model B got 37 right. How many percentage points more accurate is Model A?
- 32.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 33.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
- 34.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
- 35.❌ Diya’s handwriting reader was tested on 24 new handwritten letters and got 20 right. How many did it get wrong?
- 36.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 37.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
- 38.❌ Kabir’s fruit sorter was tested on 30 new fruit photos and got 22 right. How many did it get wrong?
- 39.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 19 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 40.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
Answer key
- try unseen examples
- label each example
- try unseen examples
- 80
- paper and examples
- choose what to sort
- 20
- 4
- 35
- 9
- work out the accuracy
- 8
- 6
- more labelled examples
- correct ÷ total × 100
- 80
- 50
- 40
- 54
- collect fruit photos
- gather many examples
- set aside test photos
- train the model
- 80
- let it learn patterns
- try unseen examples
- choose what to sort
- set aside test photos
- pick a question to solve
- 160
- 12
- work out the accuracy
- to see if it learned
- correct bad labels
- 4
- 10
- pick a question to solve
- 8
- 24
- label each example
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students