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 — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
- 2.❌ Rohan’s leaf identifier was tested on 26 new leaf photos and got 17 right. How many did it get wrong?
- 3.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
- 4.🎯 Meera’s bird-song app was tested on 25 new bird songs and got 24 right. What is its accuracy in percent?
- 5.❌ Meera’s bird-song app was tested on 49 new bird songs and got 47 right. How many did it get wrong?
- 6.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
- 7.🎯 Rohan’s bird-song app was tested on 25 new bird songs and got 19 right. What is its accuracy in percent?
- 8.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
- 9.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
- 10.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
- 11.🎯 Ishaan’s recycling sorter was tested on 50 new waste photos and got 48 right. What is its accuracy in percent?
- 12.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 13.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
- 14.📦 Ishaan collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 15.📋 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
- 16.🎯 Aarav’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
- 17.📦 Vihaan collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 18.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
- 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
- 20.❌ Diya’s leaf identifier was tested on 44 new leaf photos and got 35 right. How many did it get wrong?
- 21.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
- 22.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 23.🎯 Vihaan’s leaf identifier is 70% accurate. If it is tested on 50 new leaf photos, how many should it get right?
- 24.🎯 Ananya’s bird-song app is 90% accurate. If it is tested on 50 new bird songs, how many should it get right?
- 25.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 22 right and Model B got 20 right. How many percentage points more accurate is Model A?
- 26.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 27.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
- 28.🎯 Arjun’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
- 29.🎯 Tara’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
- 30.🎯 Rohan’s leaf identifier is 60% accurate. If it is tested on 90 new leaf photos, how many should it get right?
- 31.🎯 Meera’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
- 32.📦 Aarav collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 33.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
- 34.🎯 Tara’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
- 35.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
- 36.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
- 37.🎯 Diya’s bird-song app was tested on 50 new bird songs and got 29 right. What is its accuracy in percent?
- 38.🎯 Ishaan’s bird-song app was tested on 25 new bird songs and got 15 right. What is its accuracy in percent?
- 39.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
- 40.📦 Kabir collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
Answer key
- choose what to sort
- 9
- pick a question to solve
- 96
- 2
- let it learn patterns
- 76
- to see if it learned
- correct ÷ total × 100
- work out the accuracy
- 96
- calculate percent right
- let it learn patterns
- 120
- test on new photos
- 50
- 160
- set aside test photos
- more labelled examples
- 9
- gather many examples
- 5
- 35
- 45
- 8
- 15
- pick a question to solve
- 60
- 100
- 54
- 21
- 48
- collect fruit photos
- 12
- paper and examples
- gather many examples
- 58
- 60
- choose what to sort
- 160
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students