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.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 2.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
- 3.🎯 Saanvi’s leaf identifier was tested on 50 new leaf photos and got 26 right. What is its accuracy in percent?
- 4.❌ Tara’s fruit sorter was tested on 42 new fruit photos and got 35 right. How many did it get wrong?
- 5.📦 Vihaan collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 6.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
- 7.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
- 8.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
- 9.📦 Tara collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 10.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
- 11.🧪 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
- 12.📦 Meera collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 13.📦 Ananya collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 14.📦 Nisha collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 15.📦 Aarav collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 16.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 17.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 18.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
- 19.🎯 Rohan’s leaf identifier is 90% accurate. If it is tested on 30 new leaf photos, how many should it get right?
- 20.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
- 21.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 22.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 23.🎯 Arjun’s handwriting reader is 70% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
- 24.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
- 25.❌ Diya’s fruit sorter was tested on 34 new fruit photos and got 32 right. How many did it get wrong?
- 26.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
- 27.🎯 Meera’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
- 28.📋 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
- 29.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
- 30.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
- 31.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 90 new waste photos, how many should it get right?
- 32.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
- 33.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
- 34.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 35.📦 Ishaan collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 36.🎯 Vihaan’s bird-song app is 90% accurate. If it is tested on 80 new bird songs, how many should it get right?
- 37.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
- 38.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
- 39.🎯 Meera’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
- 40.📦 Ananya collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
Answer key
- 10
- gather many examples
- 52
- 7
- 56
- 4
- 75
- try unseen examples
- 136
- recheck every label
- more labelled examples
- 32
- 112
- 48
- 88
- 30
- 5
- correct ÷ total × 100
- 27
- paper and examples
- 8
- calculate percent right
- 35
- train the model
- 2
- calculate percent right
- 100
- let it learn patterns
- train the model
- pick a question to solve
- 81
- 8
- label each example
- work out the accuracy
- 128
- 72
- recheck every label
- gather many examples
- 5
- 40
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students