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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
- 2.❌ Diya’s bird-song app was tested on 37 new bird songs and got 31 right. How many did it get wrong?
- 3.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
- 4.📋 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
- 5.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
- 6.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
- 7.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 8.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
- 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
- 10.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
- 11.🎯 Nisha’s fruit sorter is 60% accurate. If it is tested on 100 new fruit photos, how many should it get right?
- 12.🎯 Tara’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
- 13.🎯 Diya’s leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
- 14.📋 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
- 15.🎯 Rohan’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
- 16.📦 Vihaan collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 17.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 43 right and Model B got 38 right. How many percentage points more accurate is Model A?
- 18.📦 Meera collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 19.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
- 20.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 27 right. What is its accuracy in percent?
- 21.📋 Planning an AI project: which comes first — gather many examples or fix it and test again? (a) gather many examples (b) fix it and test again
- 22.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 23.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
- 24.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
- 25.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
- 26.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
- 27.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 28.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
- 29.📦 Kabir collected 190 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 — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
- 31.📋 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
- 32.❌ Aarav’s recycling sorter was tested on 25 new waste photos and got 19 right. How many did it get wrong?
- 33.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 45 right and Model B got 44 right. How many percentage points more accurate is Model A?
- 34.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
- 35.🎯 Kabir’s handwriting reader is 80% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
- 36.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
- 37.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
- 38.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
- 39.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
- 40.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
Answer key
- more labelled examples
- 6
- correct bad labels
- pick a question to solve
- correct ÷ total × 100
- pick a question to solve
- 10
- 4
- to see if it learned
- let it learn patterns
- 60
- 75
- 48
- pick a question to solve
- 60
- 64
- 10
- 40
- paper and examples
- 54
- gather many examples
- work out the accuracy
- try unseen examples
- train the model
- let it learn patterns
- try unseen examples
- 10
- choose what to sort
- 152
- correct bad labels
- test on new photos
- 6
- 2
- choose what to sort
- 40
- 36
- collect fruit photos
- 75
- 20
- train the model
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students