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) only a big robot (d) nothing at all
- 2.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 41 right and Model B got 37 right. How many percentage points more accurate is Model A?
- 3.🎯 Ishaan’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
- 4.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 5.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 6.❌ Arjun’s fruit sorter was tested on 47 new fruit photos and got 43 right. How many did it get wrong?
- 7.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
- 8.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
- 9.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
- 10.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
- 11.📋 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
- 12.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
- 13.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
- 14.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 15.🎯 Ishaan’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
- 16.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
- 17.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 18.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
- 19.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
- 20.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 21.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
- 22.🎯 Nisha’s bird-song app was tested on 10 new bird songs and got 10 right. What is its accuracy in percent?
- 23.📋 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
- 24.🧪 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
- 25.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
- 26.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
- 27.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
- 28.❌ Arjun’s fruit sorter was tested on 45 new fruit photos and got 37 right. How many did it get wrong?
- 29.🎯 Aarav’s leaf identifier is 60% accurate. If it is tested on 60 new leaf photos, how many should it get right?
- 30.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
- 31.📦 Rohan collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 32.🎯 Vihaan’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
- 33.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
- 34.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
- 35.❌ Tara’s spam spotter was tested on 20 new messages and got 16 right. How many did it get wrong?
- 36.📦 Aarav collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 37.⚖️ 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?
- 38.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 39.📦 Arjun collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 40.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
Answer key
- paper and examples
- 8
- 50
- 50
- 40
- 4
- choose what to sort
- test on new photos
- label each example
- 45
- tag each photo by type
- correct ÷ total × 100
- pick a question to solve
- try unseen examples
- 81
- label each example
- calculate percent right
- let it learn patterns
- 9
- 30
- to see if it learned
- 100
- pick a question to solve
- more labelled examples
- let it learn patterns
- tag each photo by type
- label each example
- 8
- 36
- try unseen examples
- 32
- 60
- collect fruit photos
- 4
- 4
- 144
- 8
- 20
- 56
- set aside test photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students