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.🎯 Ananya’s fruit sorter is 50% accurate. If it is tested on 70 new fruit photos, how many should it get right?
- 2.🎯 Nisha’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
- 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
- 4.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 50 new fruit photos, how many should it get right?
- 5.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
- 6.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
- 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
- 8.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
- 9.📦 Kabir collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 10.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
- 11.🎯 Diya’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
- 12.❌ Ishaan’s leaf identifier was tested on 18 new leaf photos and got 15 right. How many did it get wrong?
- 13.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
- 14.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
- 15.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
- 16.🎯 Tara’s recycling sorter was tested on 25 new waste photos and got 13 right. What is its accuracy in percent?
- 17.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 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.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
- 20.📦 Kabir collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 21.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 22.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 21 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 23.🎯 Tara’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
- 24.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
- 25.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
- 26.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
- 27.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 28.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
- 29.📦 Tara collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 30.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
- 31.❌ Aarav’s leaf identifier was tested on 49 new leaf photos and got 41 right. How many did it get wrong?
- 32.🎯 Rohan’s spam spotter is 70% accurate. If it is tested on 30 new messages, how many should it get right?
- 33.❌ Meera’s fruit sorter was tested on 30 new fruit photos and got 21 right. How many did it get wrong?
- 34.❌ Nisha’s fruit sorter was tested on 32 new fruit photos and got 29 right. How many did it get wrong?
- 35.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
- 36.🎯 Arjun’s fruit sorter was tested on 50 new fruit photos and got 28 right. What is its accuracy in percent?
- 37.📋 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
- 38.📦 Ishaan collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 39.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
- 40.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
Answer key
- 35
- 90
- to see if it learned
- 25
- gather many examples
- gather many examples
- more labelled examples
- train the model
- 152
- 4
- 70
- 3
- label each example
- train the model
- paper and examples
- 52
- 10
- 30
- correct bad labels
- 96
- 35
- 28
- 80
- tag each photo by type
- collect fruit photos
- calculate percent right
- work out the accuracy
- train the model
- 112
- set aside test photos
- 8
- 21
- 9
- 3
- 4
- 56
- calculate percent right
- 48
- label each example
- test on new photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students