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 — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
- 2.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
- 3.📦 Kabir collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 4.❌ Kabir’s bird-song app was tested on 45 new bird songs and got 38 right. How many did it get wrong?
- 5.📦 Vihaan collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 6.📦 Meera collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 7.🎯 Vihaan’s spam spotter is 60% accurate. If it is tested on 80 new messages, how many should it get right?
- 8.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
- 9.🎯 Meera’s bird-song app was tested on 25 new bird songs and got 21 right. What is its accuracy in percent?
- 10.🎯 Ishaan’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
- 11.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 43 right and Model B got 25 right. How many percentage points more accurate is Model A?
- 12.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
- 13.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
- 14.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
- 15.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
- 16.🎯 Nisha’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
- 17.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
- 18.📦 Vihaan collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 19.🎯 Ishaan’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
- 20.❌ Rohan’s bird-song app was tested on 22 new bird songs and got 17 right. How many did it get wrong?
- 21.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
- 22.❌ Diya’s fruit sorter was tested on 16 new fruit photos and got 14 right. How many did it get wrong?
- 23.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
- 24.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
- 25.🎯 Arjun’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
- 26.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
- 27.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
- 28.📋 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
- 29.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 20 right. How many percentage points more accurate is Model A?
- 30.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
- 31.📦 Nisha collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 32.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 33.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
- 34.❌ Ishaan’s recycling sorter was tested on 19 new waste photos and got 17 right. How many did it get wrong?
- 35.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
- 36.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
- 37.🎯 Saanvi’s leaf identifier is 60% accurate. If it is tested on 40 new leaf photos, how many should it get right?
- 38.📋 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
- 39.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 50 right and Model B got 25 right. How many percentage points more accurate is Model A?
- 40.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
Answer key
- pick a question to solve
- label each example
- 136
- 7
- 32
- 56
- 48
- recheck every label
- 84
- 14
- 36
- paper and examples
- label each example
- correct bad labels
- set aside test photos
- 100
- correct ÷ total × 100
- 48
- 76
- 5
- pick a question to solve
- 2
- more labelled examples
- label each example
- 100
- 8
- choose what to sort
- tag each photo by type
- 12
- to see if it learned
- 32
- 5
- collect fruit photos
- 2
- 56
- split train and test
- 24
- let it learn patterns
- 50
- work out the accuracy
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students