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 — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
- 2.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
- 3.📋 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
- 4.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
- 5.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
- 6.🎯 Meera’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
- 7.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
- 8.🎯 Kabir’s spam spotter was tested on 20 new messages and got 20 right. What is its accuracy in percent?
- 9.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
- 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
- 11.❌ Kabir’s fruit sorter was tested on 44 new fruit photos and got 43 right. How many did it get wrong?
- 12.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
- 13.🎯 Diya’s handwriting reader is 90% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
- 14.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
- 15.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 16.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
- 17.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
- 18.❌ Tara’s fruit sorter was tested on 37 new fruit photos and got 35 right. How many did it get wrong?
- 19.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 90 new fruit photos, how many should it get right?
- 20.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
- 21.📦 Meera collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 22.🎯 Saanvi’s handwriting reader was tested on 50 new handwritten letters and got 35 right. What is its accuracy in percent?
- 23.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
- 24.🎯 Meera’s fruit sorter is 80% accurate. If it is tested on 20 new fruit photos, how many should it get right?
- 25.🎯 Rohan’s recycling sorter is 50% accurate. If it is tested on 10 new waste photos, how many should it get right?
- 26.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
- 27.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 28.❌ Diya’s bird-song app was tested on 20 new bird songs and got 15 right. How many did it get wrong?
- 29.❌ Ishaan’s leaf identifier was tested on 25 new leaf photos and got 22 right. How many did it get wrong?
- 30.📋 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
- 31.🎯 Tara’s recycling sorter was tested on 20 new waste photos and got 10 right. What is its accuracy in percent?
- 32.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
- 33.🎯 Nisha’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
- 34.📦 Ishaan collected 160 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 recycling sorter is 90% accurate. If it is tested on 100 new waste photos, how many should it get right?
- 36.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
- 37.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
- 38.📋 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
- 39.📦 Aarav collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 40.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
Answer key
- tag each photo by type
- tag each photo by type
- choose what to sort
- to see if it learned
- correct ÷ total × 100
- 21
- set aside test photos
- 100
- pick a question to solve
- more labelled examples
- 1
- 50
- 36
- recheck every label
- 5
- paper and examples
- choose what to sort
- 2
- 45
- choose what to sort
- 80
- 70
- train the model
- 16
- 5
- calculate percent right
- 20
- 5
- 3
- let it learn patterns
- 50
- split train and test
- 60
- 128
- 90
- collect fruit photos
- split train and test
- pick a question to solve
- 72
- correct bad labels
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students