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.🎯 Meera’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
- 2.📦 Saanvi collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 3.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
- 4.🎯 Diya’s bird-song app was tested on 25 new bird songs and got 18 right. What is its accuracy in percent?
- 5.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
- 6.❌ Nisha’s recycling sorter was tested on 17 new waste photos and got 15 right. How many did it get wrong?
- 7.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
- 8.🎯 Nisha’s spam spotter was tested on 25 new messages and got 18 right. What is its accuracy in percent?
- 9.🎯 Aarav’s handwriting reader is 60% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
- 10.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
- 11.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 12.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
- 13.📦 Diya collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 14.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
- 15.📦 Vihaan collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 16.🎯 Vihaan’s spam spotter was tested on 25 new messages and got 13 right. What is its accuracy in percent?
- 17.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
- 18.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 44 right and Model B got 41 right. How many percentage points more accurate is Model A?
- 19.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
- 20.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
- 21.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
- 22.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
- 23.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
- 24.🎯 Rohan’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
- 25.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 26.🎯 Vihaan’s recycling sorter was tested on 10 new waste photos and got 9 right. What is its accuracy in percent?
- 27.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
- 28.📦 Meera collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 29.❌ Rohan’s handwriting reader was tested on 49 new handwritten letters and got 40 right. How many did it get wrong?
- 30.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
- 31.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 32.🎯 Tara’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
- 33.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
- 34.📦 Rohan collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 35.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
- 36.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
- 37.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 38.📦 Meera collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 39.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
- 40.🎯 Arjun’s handwriting reader is 50% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
Answer key
- 80
- 64
- correct ÷ total × 100
- 72
- test on new photos
- 2
- 50
- 72
- 60
- paper and examples
- 24
- gather many examples
- 120
- choose what to sort
- 64
- 52
- train the model
- 6
- to see if it learned
- correct bad labels
- 60
- train the model
- label each example
- 50
- calculate percent right
- 90
- let it learn patterns
- 128
- 9
- recheck every label
- 40
- 24
- train the model
- 56
- 32
- more labelled examples
- 10
- 72
- split train and test
- 50
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students