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.📦 Arjun collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 2.🎯 Diya’s bird-song app was tested on 25 new bird songs and got 19 right. What is its accuracy in percent?
- 3.📋 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
- 4.🎯 Saanvi’s recycling sorter was tested on 10 new waste photos and got 8 right. What is its accuracy in percent?
- 5.📦 Aarav collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 6.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
- 7.🎯 Ananya’s leaf identifier was tested on 25 new leaf photos and got 13 right. What is its accuracy in percent?
- 8.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
- 9.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
- 10.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
- 11.❌ Kabir’s leaf identifier was tested on 33 new leaf photos and got 26 right. How many did it get wrong?
- 12.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
- 13.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
- 14.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 40 right and Model B got 33 right. How many percentage points more accurate is Model A?
- 15.📦 Ananya collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 16.🧪 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
- 17.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
- 18.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
- 20.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
- 21.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
- 22.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
- 23.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
- 24.📦 Vihaan collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 25.🎯 Nisha’s bird-song app is 50% accurate. If it is tested on 100 new bird songs, how many should it get right?
- 26.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 36 right and Model B got 30 right. How many percentage points more accurate is Model A?
- 27.🎯 Kabir’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
- 28.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
- 29.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 30.📦 Tara collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 31.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
- 32.🎯 Saanvi’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
- 33.🎯 Nisha’s bird-song app was tested on 25 new bird songs and got 24 right. What is its accuracy in percent?
- 34.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
- 35.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
- 36.🎯 Rohan’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
- 37.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
- 38.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
- 39.📋 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
- 40.🎯 Aarav’s bird-song app is 70% accurate. If it is tested on 100 new bird songs, how many should it get right?
Answer key
- 136
- 76
- recheck every label
- 80
- 64
- pick a question to solve
- 52
- pick a question to solve
- set aside test photos
- correct ÷ total × 100
- 7
- test on new photos
- try unseen examples
- 14
- 40
- to see if it learned
- pick a question to solve
- try unseen examples
- more labelled examples
- 4
- tag each photo by type
- paper and examples
- pick a question to solve
- 112
- 50
- 12
- 45
- set aside test photos
- 40
- 48
- try unseen examples
- 75
- 96
- choose what to sort
- collect fruit photos
- 30
- gather many examples
- 50
- work out the accuracy
- 70
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students