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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
- 2.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 3.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
- 4.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
- 5.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 6.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
- 7.🎯 Rohan’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
- 8.📋 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
- 9.❌ Arjun’s bird-song app was tested on 37 new bird songs and got 31 right. How many did it get wrong?
- 10.❌ Meera’s spam spotter was tested on 21 new messages and got 13 right. How many did it get wrong?
- 11.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
- 12.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
- 13.❌ Aarav’s bird-song app was tested on 42 new bird songs and got 38 right. How many did it get wrong?
- 14.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
- 15.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
- 16.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 17.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
- 18.📦 Nisha collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 19.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 19 right. What is its accuracy in percent?
- 20.🎯 Vihaan’s recycling sorter was tested on 25 new waste photos and got 23 right. What is its accuracy in percent?
- 21.❌ Saanvi’s spam spotter was tested on 48 new messages and got 46 right. How many did it get wrong?
- 22.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
- 23.❌ Kabir’s spam spotter was tested on 45 new messages and got 44 right. How many did it get wrong?
- 24.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 25.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
- 26.🎯 Diya’s fruit sorter is 60% accurate. If it is tested on 10 new fruit photos, how many should it get right?
- 27.🎯 Vihaan’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
- 28.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
- 29.📋 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
- 30.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
- 31.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
- 32.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
- 33.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 16 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 34.❌ Arjun’s handwriting reader was tested on 48 new handwritten letters and got 45 right. How many did it get wrong?
- 35.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
- 36.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
- 37.📦 Rohan collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 38.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
- 39.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 40.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
Answer key
- more labelled examples
- 25
- 50
- calculate percent right
- 10
- try unseen examples
- 85
- pick a question to solve
- 6
- 8
- to see if it learned
- let it learn patterns
- 4
- pick a question to solve
- paper and examples
- 30
- tag each photo by type
- 32
- 95
- 92
- 2
- gather many examples
- 1
- 10
- calculate percent right
- 6
- 14
- correct bad labels
- try unseen examples
- try unseen examples
- choose what to sort
- 4
- 12
- 3
- recheck every label
- tag each photo by type
- 120
- correct ÷ total × 100
- 40
- collect fruit photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students