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.🎯 Meera’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
- 2.📦 Arjun collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 3.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
- 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
- 5.❌ Rohan’s fruit sorter was tested on 27 new fruit photos and got 22 right. How many did it get wrong?
- 6.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
- 7.📦 Arjun collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 8.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
- 9.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
- 10.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
- 11.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
- 12.❌ Meera’s handwriting reader was tested on 41 new handwritten letters and got 37 right. How many did it get wrong?
- 13.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
- 14.❌ Rohan’s spam spotter was tested on 21 new messages and got 20 right. How many did it get wrong?
- 15.❌ Rohan’s leaf identifier was tested on 15 new leaf photos and got 10 right. How many did it get wrong?
- 16.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
- 17.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
- 18.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
- 19.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 90 new waste photos, how many should it get right?
- 20.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 21.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 80 new waste photos, how many should it get right?
- 22.❌ Tara’s spam spotter was tested on 36 new messages and got 27 right. How many did it get wrong?
- 23.📋 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
- 24.❌ Vihaan’s spam spotter was tested on 17 new messages and got 16 right. How many did it get wrong?
- 25.📦 Diya collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 26.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
- 27.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
- 28.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
- 29.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 46 right and Model B got 30 right. How many percentage points more accurate is Model A?
- 30.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 11 right. How many percentage points more accurate is Model A?
- 31.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
- 32.🎯 Tara’s spam spotter is 90% accurate. If it is tested on 90 new messages, how many should it get right?
- 33.🎯 Tara’s handwriting reader was tested on 50 new handwritten letters and got 45 right. What is its accuracy in percent?
- 34.❌ Ishaan’s recycling sorter was tested on 46 new waste photos and got 41 right. How many did it get wrong?
- 35.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
- 36.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
- 37.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 41 right and Model B got 37 right. How many percentage points more accurate is Model A?
- 38.🎯 Aarav’s spam spotter was tested on 25 new messages and got 24 right. What is its accuracy in percent?
- 39.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
- 40.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
Answer key
- 64
- 128
- let it learn patterns
- more labelled examples
- 5
- try unseen examples
- 40
- to see if it learned
- label each example
- pick a question to solve
- collect fruit photos
- 4
- split train and test
- 1
- 5
- recheck every label
- try unseen examples
- correct ÷ total × 100
- 63
- try unseen examples
- 48
- 9
- pick a question to solve
- 1
- 136
- tag each photo by type
- choose what to sort
- test on new photos
- 32
- 25
- test on new photos
- 81
- 90
- 5
- pick a question to solve
- label each example
- 8
- 96
- gather many examples
- paper and examples
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students