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.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
- 2.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
- 3.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
- 4.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 5.📋 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
- 6.🧪 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
- 7.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
- 8.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
- 9.🎯 Kabir’s bird-song app is 80% accurate. If it is tested on 30 new bird songs, how many should it get right?
- 10.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 11.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
- 12.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 13.🎯 Aarav’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
- 14.🧪 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
- 15.❌ Arjun’s recycling sorter was tested on 25 new waste photos and got 17 right. How many did it get wrong?
- 16.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
- 17.🎯 Ishaan’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
- 18.⚖️ 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?
- 19.🎯 Meera’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
- 20.🎯 Rohan’s leaf identifier was tested on 10 new leaf photos and got 8 right. What is its accuracy in percent?
- 21.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
- 22.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 23.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 24.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
- 25.📋 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
- 26.📦 Arjun collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 27.❌ Nisha’s fruit sorter was tested on 46 new fruit photos and got 45 right. How many did it get wrong?
- 28.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 29.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
- 30.📦 Tara collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 31.📦 Ananya collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 32.❌ Saanvi’s bird-song app was tested on 27 new bird songs and got 19 right. How many did it get wrong?
- 33.🎯 Nisha’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
- 34.📦 Kabir collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 35.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
- 36.❌ Saanvi’s bird-song app was tested on 19 new bird songs and got 14 right. How many did it get wrong?
- 37.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
- 38.📦 Kabir collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 39.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 47 right and Model B got 31 right. How many percentage points more accurate is Model A?
- 40.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
Answer key
- let it learn patterns
- gather many examples
- try unseen examples
- calculate percent right
- tag each photo by type
- paper and examples
- try unseen examples
- correct ÷ total × 100
- 24
- try unseen examples
- 50
- 30
- 75
- more labelled examples
- 8
- choose what to sort
- 100
- 20
- 60
- 80
- split train and test
- 20
- 20
- 28
- work out the accuracy
- 160
- 1
- 15
- 35
- 72
- 120
- 8
- 100
- 152
- pick a question to solve
- 5
- set aside test photos
- 32
- 32
- 4
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students