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.📦 Saanvi collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 2.🎯 Saanvi’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
- 3.🎯 Ananya’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
- 4.🎯 Ishaan’s bird-song app is 90% accurate. If it is tested on 10 new bird songs, how many should it get right?
- 5.📦 Meera collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 6.📦 Ishaan collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 7.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 47 right. How many percentage points more accurate is Model A?
- 8.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
- 9.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
- 10.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
- 11.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
- 12.❌ Tara’s leaf identifier was tested on 33 new leaf photos and got 25 right. How many did it get wrong?
- 13.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
- 14.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
- 15.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
- 16.🧪 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
- 17.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
- 18.📦 Meera collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 19.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
- 20.📋 Planning an AI project: which comes first — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
- 21.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
- 22.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 23.🎯 Arjun’s handwriting reader is 50% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
- 24.🎯 Ishaan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
- 25.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
- 26.⚖️ 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?
- 27.🎯 Meera’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
- 28.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
- 29.🎯 Tara’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
- 30.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
- 31.🎯 Kabir’s fruit sorter is 60% accurate. If it is tested on 60 new fruit photos, how many should it get right?
- 32.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
- 33.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
- 34.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
- 35.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 36.❌ Aarav’s fruit sorter was tested on 21 new fruit photos and got 20 right. How many did it get wrong?
- 37.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
- 38.📦 Ananya collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 39.🎯 Ishaan’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
- 40.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
Answer key
- 144
- 12
- 6
- 9
- 104
- 32
- 4
- pick a question to solve
- tag each photo by type
- choose what to sort
- collect fruit photos
- 8
- 48
- paper and examples
- correct bad labels
- to see if it learned
- label each example
- 160
- set aside test photos
- recheck every label
- more labelled examples
- 5
- 20
- 100
- tag each photo by type
- 4
- 7
- correct ÷ total × 100
- 80
- collect fruit photos
- 36
- label each example
- try unseen examples
- test on new photos
- calculate percent right
- 1
- let it learn patterns
- 96
- 50
- pick a question to solve
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students