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 — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
- 2.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
- 3.📋 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
- 4.❌ Kabir’s fruit sorter was tested on 30 new fruit photos and got 28 right. How many did it get wrong?
- 5.🎯 Rohan’s recycling sorter is 70% accurate. If it is tested on 60 new waste photos, how many should it get right?
- 6.🎯 Meera’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
- 7.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
- 8.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 19 right. What is its accuracy in percent?
- 9.❌ Diya’s handwriting reader was tested on 32 new handwritten letters and got 24 right. How many did it get wrong?
- 10.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
- 11.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
- 12.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
- 13.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
- 14.📋 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
- 15.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
- 16.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
- 17.📦 Tara collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 18.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
- 19.🎯 Meera’s handwriting reader is 60% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
- 20.🎯 Rohan’s handwriting reader is 50% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
- 21.📦 Kabir collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 22.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
- 23.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
- 24.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
- 25.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 28 right and Model B got 27 right. How many percentage points more accurate is Model A?
- 26.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
- 27.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
- 28.🎯 Ananya’s spam spotter was tested on 20 new messages and got 16 right. What is its accuracy in percent?
- 29.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
- 30.❌ Ananya’s fruit sorter was tested on 29 new fruit photos and got 26 right. How many did it get wrong?
- 31.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 26 right. What is its accuracy in percent?
- 32.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
- 33.📦 Saanvi collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 34.❌ Meera’s leaf identifier was tested on 44 new leaf photos and got 40 right. How many did it get wrong?
- 35.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
- 36.🎯 Saanvi’s recycling sorter was tested on 50 new waste photos and got 41 right. What is its accuracy in percent?
- 37.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
- 38.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
- 39.📦 Aarav collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 40.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
Answer key
- choose what to sort
- collect fruit photos
- let it learn patterns
- 2
- 42
- 50
- to see if it learned
- 95
- 8
- correct ÷ total × 100
- let it learn patterns
- work out the accuracy
- 8
- let it learn patterns
- split train and test
- split train and test
- 32
- label each example
- 48
- 35
- 120
- split train and test
- paper and examples
- gather many examples
- 2
- label each example
- try unseen examples
- 80
- choose what to sort
- 3
- 52
- more labelled examples
- 48
- 4
- pick a question to solve
- 82
- 100
- let it learn patterns
- 64
- 10
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students