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.🧪 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
- 2.📋 Planning an AI project: which comes first — let it learn patterns or gather many examples? (a) let it learn patterns (b) gather many examples
- 3.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
- 4.📋 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
- 5.❌ Ananya’s recycling sorter was tested on 31 new waste photos and got 26 right. How many did it get wrong?
- 6.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
- 7.❌ Nisha’s bird-song app was tested on 21 new bird songs and got 14 right. How many did it get wrong?
- 8.🎯 Aarav’s leaf identifier was tested on 50 new leaf photos and got 35 right. What is its accuracy in percent?
- 9.🎯 Ishaan’s handwriting reader is 90% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
- 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
- 11.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 12.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
- 13.🎯 Nisha’s bird-song app is 80% accurate. If it is tested on 50 new bird songs, how many should it get right?
- 14.📋 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
- 15.🎯 Arjun’s bird-song app is 70% accurate. If it is tested on 30 new bird songs, how many should it get right?
- 16.🎯 Rohan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
- 17.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
- 18.📋 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
- 19.🎯 Nisha’s handwriting reader is 60% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
- 20.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
- 21.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 22.🎯 Meera’s handwriting reader was tested on 50 new handwritten letters and got 45 right. What is its accuracy in percent?
- 23.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
- 24.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
- 25.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
- 26.🎯 Meera’s leaf identifier was tested on 20 new leaf photos and got 15 right. What is its accuracy in percent?
- 27.📦 Kabir collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 28.🎯 Tara’s bird-song app is 80% accurate. If it is tested on 30 new bird songs, how many should it get right?
- 29.🎯 Arjun’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
- 30.📦 Kabir collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 31.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
- 32.⚖️ 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?
- 33.❌ Tara’s spam spotter was tested on 31 new messages and got 30 right. How many did it get wrong?
- 34.❌ Rohan’s fruit sorter was tested on 30 new fruit photos and got 23 right. How many did it get wrong?
- 35.🎯 Arjun’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
- 36.🎯 Ishaan’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
- 37.❌ Ishaan’s fruit sorter was tested on 34 new fruit photos and got 29 right. How many did it get wrong?
- 38.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
- 39.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
- 40.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
Answer key
- paper and examples
- gather many examples
- recheck every label
- test on new photos
- 5
- correct ÷ total × 100
- 7
- 70
- 90
- to see if it learned
- 50
- 100
- 40
- collect fruit photos
- 21
- 100
- 100
- work out the accuracy
- 18
- test on new photos
- work out the accuracy
- 90
- split train and test
- label each example
- recheck every label
- 75
- 56
- 24
- 80
- 40
- set aside test photos
- 4
- 1
- 7
- 50
- 100
- 5
- set aside test photos
- more labelled examples
- pick a question to solve
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students