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 — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
- 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
- 3.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
- 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
- 5.📋 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
- 6.📦 Arjun collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 7.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 43 right. How many percentage points more accurate is Model A?
- 8.❌ Ishaan’s recycling sorter was tested on 21 new waste photos and got 12 right. How many did it get wrong?
- 9.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 10.❌ Saanvi’s handwriting reader was tested on 28 new handwritten letters and got 25 right. How many did it get wrong?
- 11.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 12.🎯 Nisha’s handwriting reader is 80% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
- 13.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
- 14.📦 Aarav collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 15.🎯 Saanvi’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
- 16.🎯 Tara’s leaf identifier is 90% accurate. If it is tested on 70 new leaf photos, how many should it get right?
- 17.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
- 18.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 19.❌ Kabir’s leaf identifier was tested on 38 new leaf photos and got 34 right. How many did it get wrong?
- 20.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
- 21.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 22.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
- 23.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
- 24.🎯 Arjun’s handwriting reader is 90% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
- 25.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
- 26.📦 Rohan collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 27.❌ Diya’s bird-song app was tested on 34 new bird songs and got 31 right. How many did it get wrong?
- 28.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
- 29.🎯 Kabir’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
- 30.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
- 31.❌ Arjun’s fruit sorter was tested on 22 new fruit photos and got 14 right. How many did it get wrong?
- 32.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
- 33.🎯 Tara’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
- 34.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 35.🎯 Vihaan’s spam spotter was tested on 20 new messages and got 19 right. What is its accuracy in percent?
- 36.📋 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
- 37.📦 Tara collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 38.🎯 Tara’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
- 39.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
- 40.📦 Meera collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
Answer key
- split train and test
- more labelled examples
- collect fruit photos
- correct ÷ total × 100
- train the model
- 160
- 12
- 9
- 40
- 3
- 20
- 80
- 30
- 32
- 30
- 63
- let it learn patterns
- 30
- 4
- to see if it learned
- 25
- gather many examples
- paper and examples
- 72
- correct bad labels
- 96
- 3
- gather many examples
- 100
- split train and test
- 8
- train the model
- 76
- calculate percent right
- 95
- pick a question to solve
- 32
- 90
- correct bad labels
- 144
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students