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.📦 Nisha collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 2.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
- 3.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
- 4.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 5.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
- 6.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
- 7.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 20 right. How many percentage points more accurate is Model A?
- 8.🎯 Aarav’s handwriting reader was tested on 50 new handwritten letters and got 33 right. What is its accuracy in percent?
- 9.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
- 10.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
- 11.🎯 Saanvi’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
- 12.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
- 13.🧪 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
- 14.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
- 15.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 16.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
- 17.📦 Kabir collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 18.🎯 Ishaan’s bird-song app is 50% accurate. If it is tested on 60 new bird songs, how many should it get right?
- 19.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
- 20.📦 Diya collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 21.🎯 Ananya’s bird-song app was tested on 25 new bird songs and got 24 right. What is its accuracy in percent?
- 22.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
- 23.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
- 24.❌ Kabir’s spam spotter was tested on 50 new messages and got 48 right. How many did it get wrong?
- 25.📦 Vihaan collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 26.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
- 27.🎯 Kabir’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
- 28.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
- 29.📦 Nisha collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 30.🎯 Meera’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
- 31.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
- 32.🎯 Rohan’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?
- 33.🎯 Kabir’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
- 34.🎯 Meera’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
- 35.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
- 36.📦 Nisha collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 37.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 38.❌ Ishaan’s fruit sorter was tested on 49 new fruit photos and got 43 right. How many did it get wrong?
- 39.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
- 40.📦 Saanvi collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
Answer key
- 128
- 50
- correct ÷ total × 100
- 5
- pick a question to solve
- pick a question to solve
- 16
- 66
- choose what to sort
- paper and examples
- 100
- recheck every label
- to see if it learned
- tag each photo by type
- work out the accuracy
- try unseen examples
- 40
- 30
- correct bad labels
- 40
- 96
- label each example
- more labelled examples
- 2
- 96
- let it learn patterns
- 50
- calculate percent right
- 120
- 30
- 4
- 54
- 50
- 80
- let it learn patterns
- 96
- 10
- 6
- let it learn patterns
- 96
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students