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.🎯 Aarav’s handwriting reader is 70% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
- 2.📦 Arjun collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 3.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 14 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 4.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
- 5.🎯 Tara’s bird-song app was tested on 50 new bird songs and got 28 right. What is its accuracy in percent?
- 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
- 7.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
- 8.🎯 Vihaan’s handwriting reader was tested on 20 new handwritten letters and got 10 right. What is its accuracy in percent?
- 9.📦 Ishaan collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 10.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
- 11.🎯 Aarav’s handwriting reader was tested on 50 new handwritten letters and got 44 right. What is its accuracy in percent?
- 12.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
- 13.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
- 14.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
- 15.📋 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
- 16.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
- 17.❌ Vihaan’s bird-song app was tested on 14 new bird songs and got 11 right. How many did it get wrong?
- 18.📦 Ananya collected 160 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) only a big robot (c) a secret password (d) paper and examples
- 20.📋 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
- 21.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
- 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
- 23.📋 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
- 24.📋 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
- 25.🎯 Saanvi’s leaf identifier was tested on 50 new leaf photos and got 26 right. What is its accuracy in percent?
- 26.📋 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
- 27.🎯 Tara’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
- 28.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
- 29.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
- 30.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
- 31.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
- 32.🎯 Meera’s bird-song app is 90% accurate. If it is tested on 100 new bird songs, how many should it get right?
- 33.🎯 Diya’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
- 34.🎯 Aarav’s spam spotter was tested on 20 new messages and got 16 right. What is its accuracy in percent?
- 35.❌ Vihaan’s spam spotter was tested on 48 new messages and got 41 right. How many did it get wrong?
- 36.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 37.📋 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
- 38.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
- 39.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 44 right and Model B got 38 right. How many percentage points more accurate is Model A?
- 40.❌ Nisha’s recycling sorter was tested on 50 new waste photos and got 44 right. How many did it get wrong?
Answer key
- 28
- 152
- 5
- tag each photo by type
- 56
- to see if it learned
- set aside test photos
- 50
- 120
- collect fruit photos
- 88
- set aside test photos
- 4
- 50
- pick a question to solve
- label each example
- 3
- 128
- paper and examples
- recheck every label
- correct bad labels
- more labelled examples
- pick a question to solve
- work out the accuracy
- 52
- let it learn patterns
- 75
- tag each photo by type
- correct bad labels
- correct ÷ total × 100
- tag each photo by type
- 90
- 8
- 80
- 7
- work out the accuracy
- pick a question to solve
- collect fruit photos
- 12
- 6
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students