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 louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
- 2.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
- 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
- 4.🎯 Arjun’s bird-song app was tested on 25 new bird songs and got 21 right. What is its accuracy in percent?
- 5.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
- 6.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 7.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 8.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
- 9.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
- 10.🎯 Nisha’s bird-song app is 70% accurate. If it is tested on 50 new bird songs, how many should it get right?
- 11.🎯 Ananya’s recycling sorter is 90% accurate. If it is tested on 100 new waste photos, how many should it get right?
- 12.🎯 Kabir’s handwriting reader is 60% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
- 13.🎯 Meera’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
- 14.❌ Ananya’s bird-song app was tested on 18 new bird songs and got 15 right. How many did it get wrong?
- 15.❌ Arjun’s handwriting reader was tested on 43 new handwritten letters and got 42 right. How many did it get wrong?
- 16.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
- 17.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
- 18.❌ Tara’s handwriting reader was tested on 36 new handwritten letters and got 34 right. How many did it get wrong?
- 19.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
- 20.📦 Ananya collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 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.❌ Saanvi’s handwriting reader was tested on 42 new handwritten letters and got 36 right. How many did it get wrong?
- 23.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
- 24.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
- 25.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 26.📦 Kabir collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 27.📋 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
- 28.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 29.🎯 Tara’s bird-song app was tested on 10 new bird songs and got 9 right. What is its accuracy in percent?
- 30.🎯 Tara’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
- 31.❌ Arjun’s leaf identifier was tested on 24 new leaf photos and got 20 right. How many did it get wrong?
- 32.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 33.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
- 34.🎯 Ishaan’s handwriting reader is 90% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
- 35.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
- 36.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 37.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
- 38.❌ Meera’s spam spotter was tested on 27 new messages and got 26 right. How many did it get wrong?
- 39.🎯 Arjun’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
- 40.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
Answer key
- more labelled examples
- paper and examples
- to see if it learned
- 84
- train the model
- 20
- 5
- 5
- let it learn patterns
- 35
- 90
- 18
- 50
- 3
- 1
- tag each photo by type
- train the model
- 2
- 100
- 160
- gather many examples
- 6
- choose what to sort
- choose what to sort
- 36
- 96
- set aside test photos
- 15
- 90
- 50
- 4
- 10
- pick a question to solve
- 54
- train the model
- 20
- correct bad labels
- 1
- 60
- recheck every label
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students