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.📦 Kabir collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 2.❌ Meera’s recycling sorter was tested on 42 new waste photos and got 37 right. How many did it get wrong?
- 3.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
- 4.📦 Nisha collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 5.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 10 right. How many percentage points more accurate is Model A?
- 6.📋 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
- 7.📦 Tara collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
- 9.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
- 10.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
- 11.🎯 Ishaan’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
- 12.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
- 13.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
- 14.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
- 15.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 16.📦 Meera collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 17.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 18.📦 Kabir collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 19.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
- 20.🎯 Rohan’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
- 21.🎯 Ishaan’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
- 22.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
- 23.📋 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
- 24.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
- 25.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
- 26.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 70 new leaf photos, how many should it get right?
- 27.🎯 Ishaan’s bird-song app is 60% accurate. If it is tested on 40 new bird songs, how many should it get right?
- 28.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
- 29.🎯 Aarav’s fruit sorter was tested on 25 new fruit photos and got 18 right. What is its accuracy in percent?
- 30.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 31.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 32.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
- 33.❌ Nisha’s handwriting reader was tested on 40 new handwritten letters and got 34 right. How many did it get wrong?
- 34.🎯 Ananya’s fruit sorter was tested on 25 new fruit photos and got 15 right. What is its accuracy in percent?
- 35.📋 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
- 36.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
- 37.🎯 Tara’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
- 38.🎯 Ishaan’s bird-song app was tested on 25 new bird songs and got 14 right. What is its accuracy in percent?
- 39.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 48 right and Model B got 43 right. How many percentage points more accurate is Model A?
- 40.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
Answer key
- 72
- 5
- split train and test
- 32
- 45
- try unseen examples
- 56
- more labelled examples
- paper and examples
- pick a question to solve
- 70
- correct bad labels
- to see if it learned
- pick a question to solve
- calculate percent right
- 152
- 20
- 112
- let it learn patterns
- 90
- 45
- correct bad labels
- test on new photos
- 60
- correct bad labels
- 56
- 24
- tag each photo by type
- 72
- work out the accuracy
- work out the accuracy
- correct ÷ total × 100
- 6
- 60
- pick a question to solve
- collect fruit photos
- 35
- 56
- 10
- train the model
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students