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.🎯 Nisha’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
- 2.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
- 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
- 4.🎯 Meera’s spam spotter was tested on 20 new messages and got 12 right. What is its accuracy in percent?
- 5.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
- 6.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
- 7.🎯 Vihaan’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
- 8.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 21 right and Model B got 20 right. How many percentage points more accurate is Model A?
- 9.🎯 Ishaan’s handwriting reader was tested on 25 new handwritten letters and got 18 right. What is its accuracy in percent?
- 10.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
- 11.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
- 12.📋 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
- 13.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
- 14.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
- 15.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
- 16.📦 Saanvi collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 17.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 43 right. How many percentage points more accurate is Model A?
- 18.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 19.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 20.❌ Kabir’s spam spotter was tested on 44 new messages and got 37 right. How many did it get wrong?
- 21.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
- 22.❌ Arjun’s handwriting reader was tested on 25 new handwritten letters and got 24 right. How many did it get wrong?
- 23.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
- 24.❌ Aarav’s bird-song app was tested on 13 new bird songs and got 12 right. How many did it get wrong?
- 25.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 50 new waste photos, how many should it get right?
- 26.🎯 Vihaan’s fruit sorter was tested on 25 new fruit photos and got 25 right. What is its accuracy in percent?
- 27.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
- 28.🎯 Arjun’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
- 29.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
- 30.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
- 31.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
- 32.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
- 33.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
- 34.🎯 Rohan’s spam spotter was tested on 50 new messages and got 35 right. What is its accuracy in percent?
- 35.🎯 Kabir’s handwriting reader is 80% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
- 36.📦 Diya collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 37.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 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.❌ Arjun’s fruit sorter was tested on 21 new fruit photos and got 16 right. How many did it get wrong?
- 40.❌ Tara’s spam spotter was tested on 21 new messages and got 16 right. How many did it get wrong?
Answer key
- 50
- paper and examples
- more labelled examples
- 60
- label each example
- split train and test
- 60
- 4
- 72
- correct ÷ total × 100
- 50
- tag each photo by type
- test on new photos
- to see if it learned
- 30
- 88
- 10
- 40
- work out the accuracy
- 7
- gather many examples
- 1
- try unseen examples
- 1
- 30
- 100
- choose what to sort
- 50
- 30
- set aside test photos
- gather many examples
- gather many examples
- try unseen examples
- 70
- 40
- 32
- 30
- set aside test photos
- 5
- 5
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students