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 pick a question to solve? (a) let it learn patterns (b) pick a question to solve
- 2.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 3.🎯 Arjun’s recycling sorter was tested on 25 new waste photos and got 20 right. What is its accuracy in percent?
- 4.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
- 6.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
- 7.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
- 8.❌ Vihaan’s leaf identifier was tested on 16 new leaf photos and got 13 right. How many did it get wrong?
- 9.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 22 right and Model B got 17 right. How many percentage points more accurate is Model A?
- 10.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 11.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
- 12.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
- 13.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
- 14.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
- 15.❌ Ishaan’s spam spotter was tested on 36 new messages and got 35 right. How many did it get wrong?
- 16.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
- 17.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
- 18.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
- 19.🎯 Arjun’s recycling sorter was tested on 20 new waste photos and got 10 right. What is its accuracy in percent?
- 20.🎯 Diya’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
- 21.❌ Kabir’s bird-song app was tested on 13 new bird songs and got 11 right. How many did it get wrong?
- 22.🎯 Ananya’s spam spotter was tested on 20 new messages and got 12 right. What is its accuracy in percent?
- 23.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 24.📦 Vihaan collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 25.📦 Kabir collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 26.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
- 27.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
- 28.🎯 Vihaan’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
- 29.📋 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
- 30.❌ Tara’s fruit sorter was tested on 17 new fruit photos and got 16 right. How many did it get wrong?
- 31.🎯 Diya’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
- 32.❌ Arjun’s leaf identifier was tested on 29 new leaf photos and got 22 right. How many did it get wrong?
- 33.🎯 Saanvi’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
- 34.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
- 35.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 36.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 37.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 17 right and Model B got 11 right. How many percentage points more accurate is Model A?
- 38.🎯 Diya’s handwriting reader was tested on 50 new handwritten letters and got 47 right. What is its accuracy in percent?
- 39.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
- 40.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
Answer key
- pick a question to solve
- work out the accuracy
- 80
- work out the accuracy
- more labelled examples
- paper and examples
- recheck every label
- 3
- 20
- 10
- to see if it learned
- pick a question to solve
- gather many examples
- train the model
- 1
- tag each photo by type
- correct ÷ total × 100
- train the model
- 50
- 80
- 2
- 60
- 4
- 80
- 32
- let it learn patterns
- pick a question to solve
- 50
- pick a question to solve
- 1
- 60
- 7
- 80
- collect fruit photos
- try unseen examples
- try unseen examples
- 30
- 94
- pick a question to solve
- set aside test photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students