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 — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
- 2.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
- 3.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
- 4.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
- 5.📦 Arjun collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 6.❌ Nisha’s leaf identifier was tested on 23 new leaf photos and got 15 right. How many did it get wrong?
- 7.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
- 8.❌ Diya’s fruit sorter was tested on 14 new fruit photos and got 11 right. How many did it get wrong?
- 9.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
- 10.📋 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
- 11.❌ Rohan’s handwriting reader was tested on 38 new handwritten letters and got 36 right. How many did it get wrong?
- 12.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
- 13.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
- 14.🎯 Arjun’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
- 15.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
- 16.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
- 17.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
- 18.🎯 Aarav’s leaf identifier is 80% accurate. If it is tested on 20 new leaf photos, how many should it get right?
- 19.📋 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
- 20.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
- 21.❌ Kabir’s recycling sorter was tested on 40 new waste photos and got 32 right. How many did it get wrong?
- 22.📦 Meera collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 23.🎯 Ishaan’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
- 24.📋 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
- 25.🎯 Rohan’s fruit sorter is 60% accurate. If it is tested on 90 new fruit photos, how many should it get right?
- 26.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 30 right and Model B got 26 right. How many percentage points more accurate is Model A?
- 27.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
- 28.❌ Kabir’s handwriting reader was tested on 29 new handwritten letters and got 26 right. How many did it get wrong?
- 29.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 80 new bird songs, how many should it get right?
- 30.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
- 31.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
- 32.📋 Planning an AI project: which comes first — fix it and test again or choose what to sort? (a) fix it and test again (b) choose what to sort
- 33.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
- 34.🎯 Tara’s spam spotter was tested on 25 new messages and got 16 right. What is its accuracy in percent?
- 35.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
- 36.❌ Ananya’s fruit sorter was tested on 26 new fruit photos and got 17 right. How many did it get wrong?
- 37.📦 Nisha collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 38.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 39.📦 Aarav collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 40.❌ Rohan’s spam spotter was tested on 24 new messages and got 19 right. How many did it get wrong?
Answer key
- try unseen examples
- paper and examples
- label each example
- test on new photos
- 152
- 8
- to see if it learned
- 3
- choose what to sort
- split train and test
- 2
- pick a question to solve
- 4
- 50
- correct ÷ total × 100
- train the model
- 72
- 16
- calculate percent right
- split train and test
- 8
- 152
- 75
- pick a question to solve
- 54
- 8
- train the model
- 3
- 64
- correct bad labels
- set aside test photos
- choose what to sort
- 75
- 64
- try unseen examples
- 9
- 120
- work out the accuracy
- 112
- 5
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students