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 — split train and test or recheck every label? (a) split train and test (b) recheck every label
- 2.🎯 Diya’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
- 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 make it bigger (d) to save paper
- 4.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
- 5.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
- 6.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
- 7.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
- 8.🧪 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
- 9.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
- 10.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 45 right and Model B got 29 right. How many percentage points more accurate is Model A?
- 11.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
- 12.🎯 Saanvi’s fruit sorter was tested on 50 new fruit photos and got 33 right. What is its accuracy in percent?
- 13.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 14.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
- 15.📋 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
- 16.📦 Aarav collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 17.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
- 18.❌ Kabir’s bird-song app was tested on 39 new bird songs and got 37 right. How many did it get wrong?
- 19.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
- 20.🎯 Saanvi’s handwriting reader is 60% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
- 21.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 22.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
- 23.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
- 24.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
- 25.📦 Ananya collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 26.🎯 Kabir’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
- 27.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 28.🎯 Ananya’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
- 29.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
- 30.📦 Vihaan collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 31.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
- 32.📦 Ishaan collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 33.🎯 Tara’s bird-song app is 70% accurate. If it is tested on 30 new bird songs, how many should it get right?
- 34.❌ Kabir’s bird-song app was tested on 19 new bird songs and got 15 right. How many did it get wrong?
- 35.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
- 36.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
- 37.📦 Ishaan collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 38.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
- 39.❌ Arjun’s fruit sorter was tested on 25 new fruit photos and got 21 right. How many did it get wrong?
- 40.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 22 right and Model B got 16 right. How many percentage points more accurate is Model A?
Answer key
- recheck every label
- 55
- to see if it learned
- label each example
- label each example
- 100
- collect fruit photos
- paper and examples
- 30
- 32
- collect fruit photos
- 66
- 20
- let it learn patterns
- tag each photo by type
- 160
- label each example
- 2
- pick a question to solve
- 48
- 40
- pick a question to solve
- more labelled examples
- correct ÷ total × 100
- 120
- 76
- 15
- 60
- 4
- 144
- tag each photo by type
- 32
- 21
- 4
- recheck every label
- 60
- 32
- split train and test
- 4
- 24
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students