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 recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
- 2.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 3.❌ Arjun’s handwriting reader was tested on 48 new handwritten letters and got 43 right. How many did it get wrong?
- 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
- 5.🧪 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
- 6.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
- 7.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
- 8.📦 Kabir collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 9.📦 Meera collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 10.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
- 11.🎯 Vihaan’s bird-song app was tested on 25 new bird songs and got 23 right. What is its accuracy in percent?
- 12.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
- 13.📋 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
- 14.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
- 15.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 22 right and Model B got 21 right. How many percentage points more accurate is Model A?
- 16.🎯 Diya’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
- 17.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
- 18.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
- 19.❌ Tara’s recycling sorter was tested on 21 new waste photos and got 12 right. How many did it get wrong?
- 20.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
- 21.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 46 right and Model B got 41 right. How many percentage points more accurate is Model A?
- 22.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
- 23.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
- 24.🎯 Saanvi’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
- 25.🎯 Ishaan’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
- 26.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 27.❌ Vihaan’s handwriting reader was tested on 22 new handwritten letters and got 17 right. How many did it get wrong?
- 28.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
- 29.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 30.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
- 31.📦 Diya collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 32.📦 Ishaan collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 33.❌ Ananya’s leaf identifier was tested on 19 new leaf photos and got 14 right. How many did it get wrong?
- 34.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
- 35.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 45 right and Model B got 36 right. How many percentage points more accurate is Model A?
- 36.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 37.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
- 38.🎯 Aarav’s handwriting reader was tested on 50 new handwritten letters and got 28 right. What is its accuracy in percent?
- 39.📦 Nisha collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 40.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
Answer key
- 35
- 40
- 5
- correct ÷ total × 100
- more labelled examples
- gather many examples
- calculate percent right
- 96
- 40
- paper and examples
- 92
- let it learn patterns
- let it learn patterns
- to see if it learned
- 4
- 45
- tag each photo by type
- train the model
- 9
- pick a question to solve
- 10
- collect fruit photos
- label each example
- 50
- 50
- 44
- 5
- split train and test
- 32
- train the model
- 112
- 64
- 5
- 40
- 18
- work out the accuracy
- correct bad labels
- 56
- 80
- test on new photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students