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 — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
- 2.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
- 3.🎯 Ishaan’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
- 4.⚖️ 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?
- 5.📋 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
- 6.🧪 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
- 7.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 8.🎯 Arjun’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
- 9.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
- 10.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
- 11.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
- 12.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
- 13.📋 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
- 14.🎯 Aarav’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
- 15.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
- 16.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 17.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
- 18.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
- 19.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
- 20.🎯 Saanvi’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
- 21.🧪 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
- 22.🎯 Ananya’s recycling sorter was tested on 50 new waste photos and got 32 right. What is its accuracy in percent?
- 23.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
- 24.❌ Saanvi’s spam spotter was tested on 29 new messages and got 23 right. How many did it get wrong?
- 25.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
- 26.❌ Ananya’s fruit sorter was tested on 44 new fruit photos and got 42 right. How many did it get wrong?
- 27.📋 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
- 28.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 29.📦 Diya collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 30.❌ Tara’s fruit sorter was tested on 33 new fruit photos and got 24 right. How many did it get wrong?
- 31.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 32.📦 Kabir collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 33.📦 Ananya collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 34.🎯 Ishaan’s recycling sorter was tested on 25 new waste photos and got 21 right. What is its accuracy in percent?
- 35.🎯 Ananya’s leaf identifier is 90% accurate. If it is tested on 30 new leaf photos, how many should it get right?
- 36.📦 Tara collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 37.📦 Ishaan collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 38.🎯 Nisha’s bird-song app is 80% accurate. If it is tested on 100 new bird songs, how many should it get right?
- 39.🎯 Ananya’s fruit sorter was tested on 20 new fruit photos and got 10 right. What is its accuracy in percent?
- 40.📦 Vihaan collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
Answer key
- collect fruit photos
- split train and test
- 75
- 4
- set aside test photos
- to see if it learned
- calculate percent right
- 50
- correct ÷ total × 100
- label each example
- try unseen examples
- gather many examples
- pick a question to solve
- 18
- choose what to sort
- 25
- correct bad labels
- 50
- set aside test photos
- 50
- more labelled examples
- 64
- paper and examples
- 6
- train the model
- 2
- try unseen examples
- 5
- 32
- 9
- 30
- 80
- 56
- 84
- 27
- 56
- 120
- 80
- 50
- 80
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students