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.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
- 2.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
- 3.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
- 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
- 5.🧪 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
- 6.❌ Saanvi’s spam spotter was tested on 39 new messages and got 37 right. How many did it get wrong?
- 7.❌ Rohan’s bird-song app was tested on 24 new bird songs and got 15 right. How many did it get wrong?
- 8.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
- 9.🎯 Aarav’s bird-song app is 90% accurate. If it is tested on 30 new bird songs, how many should it get right?
- 10.📦 Ishaan collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 11.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
- 12.🎯 Ishaan’s recycling sorter was tested on 25 new waste photos and got 23 right. What is its accuracy in percent?
- 13.📦 Ananya collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 14.📦 Tara collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 15.❌ Rohan’s bird-song app was tested on 29 new bird songs and got 27 right. How many did it get wrong?
- 16.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
- 17.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
- 18.❌ Tara’s bird-song app was tested on 47 new bird songs and got 44 right. How many did it get wrong?
- 19.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
- 20.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
- 21.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
- 22.🎯 Diya’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
- 23.🎯 Rohan’s bird-song app is 60% accurate. If it is tested on 60 new bird songs, how many should it get right?
- 24.❌ Tara’s spam spotter was tested on 16 new messages and got 14 right. How many did it get wrong?
- 25.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
- 26.📋 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
- 27.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
- 28.📦 Tara collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 29.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
- 30.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
- 31.❌ Arjun’s handwriting reader was tested on 31 new handwritten letters and got 25 right. How many did it get wrong?
- 32.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 33.❌ Kabir’s spam spotter was tested on 23 new messages and got 19 right. How many did it get wrong?
- 34.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 35.🎯 Rohan’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
- 36.❌ Ishaan’s bird-song app was tested on 25 new bird songs and got 16 right. How many did it get wrong?
- 37.❌ Nisha’s handwriting reader was tested on 16 new handwritten letters and got 12 right. How many did it get wrong?
- 38.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 20 right. How many percentage points more accurate is Model A?
- 39.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 40.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
Answer key
- correct bad labels
- split train and test
- let it learn patterns
- to see if it learned
- more labelled examples
- 2
- 9
- correct ÷ total × 100
- 27
- 32
- paper and examples
- 92
- 128
- 88
- 2
- collect fruit photos
- let it learn patterns
- 3
- label each example
- train the model
- try unseen examples
- 81
- 36
- 2
- 81
- pick a question to solve
- let it learn patterns
- 104
- correct bad labels
- collect fruit photos
- 6
- 10
- 4
- 15
- 60
- 9
- 4
- 12
- work out the accuracy
- set aside test photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students