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 — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
- 2.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
- 3.❌ Vihaan’s handwriting reader was tested on 19 new handwritten letters and got 13 right. How many did it get wrong?
- 4.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 5.📋 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
- 6.📋 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
- 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
- 8.🎯 Vihaan’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
- 9.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
- 10.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
- 11.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
- 12.📦 Kabir collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 13.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
- 14.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
- 15.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
- 16.❌ Aarav’s spam spotter was tested on 17 new messages and got 15 right. How many did it get wrong?
- 17.🎯 Tara’s spam spotter was tested on 25 new messages and got 25 right. What is its accuracy in percent?
- 18.🎯 Meera’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
- 19.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
- 20.🧪 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
- 21.❌ Meera’s bird-song app was tested on 23 new bird songs and got 16 right. How many did it get wrong?
- 22.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
- 23.🎯 Kabir’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
- 24.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
- 25.❌ Ishaan’s fruit sorter was tested on 21 new fruit photos and got 15 right. How many did it get wrong?
- 26.❌ Tara’s handwriting reader was tested on 39 new handwritten letters and got 33 right. How many did it get wrong?
- 27.📦 Ishaan collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 28.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
- 29.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
- 30.🎯 Aarav’s spam spotter was tested on 20 new messages and got 20 right. What is its accuracy in percent?
- 31.🎯 Meera’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
- 32.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
- 33.🎯 Rohan’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
- 34.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
- 35.❌ Ishaan’s bird-song app was tested on 45 new bird songs and got 41 right. How many did it get wrong?
- 36.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 38 right and Model B got 30 right. How many percentage points more accurate is Model A?
- 37.🎯 Saanvi’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
- 38.🧪 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 bigger (d) to make it faster
- 39.❌ Ishaan’s recycling sorter was tested on 25 new waste photos and got 22 right. How many did it get wrong?
- 40.❌ Meera’s recycling sorter was tested on 20 new waste photos and got 18 right. How many did it get wrong?
Answer key
- recheck every label
- gather many examples
- 6
- work out the accuracy
- pick a question to solve
- calculate percent right
- more labelled examples
- 75
- train the model
- set aside test photos
- choose what to sort
- 40
- pick a question to solve
- collect fruit photos
- try unseen examples
- 2
- 100
- 50
- pick a question to solve
- paper and examples
- 7
- gather many examples
- 100
- set aside test photos
- 6
- 6
- 56
- pick a question to solve
- 5
- 100
- 60
- try unseen examples
- 60
- calculate percent right
- 4
- 16
- 30
- to see if it learned
- 3
- 2
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students