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.🎯 Aarav’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
- 2.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
- 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
- 4.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
- 5.🎯 Aarav’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
- 6.📦 Meera collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 7.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
- 8.📦 Nisha collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 9.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
- 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
- 11.📦 Rohan collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 12.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 30 right. What is its accuracy in percent?
- 13.📋 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
- 14.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
- 15.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
- 16.📦 Vihaan collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 17.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 38 right and Model B got 29 right. How many percentage points more accurate is Model A?
- 18.🎯 Nisha’s handwriting reader is 90% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
- 19.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
- 20.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
- 21.❌ Rohan’s fruit sorter was tested on 30 new fruit photos and got 26 right. How many did it get wrong?
- 22.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 46 right and Model B got 29 right. How many percentage points more accurate is Model A?
- 23.❌ Meera’s leaf identifier was tested on 18 new leaf photos and got 14 right. How many did it get wrong?
- 24.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
- 25.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
- 26.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
- 27.❌ Kabir’s recycling sorter was tested on 38 new waste photos and got 29 right. How many did it get wrong?
- 28.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
- 29.🎯 Tara’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
- 30.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
- 31.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
- 32.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
- 33.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
- 34.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 28 right. What is its accuracy in percent?
- 35.❌ Nisha’s handwriting reader was tested on 49 new handwritten letters and got 43 right. How many did it get wrong?
- 36.🎯 Kabir’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
- 37.❌ Ishaan’s leaf identifier was tested on 30 new leaf photos and got 25 right. How many did it get wrong?
- 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.🎯 Ishaan’s bird-song app is 60% accurate. If it is tested on 10 new bird songs, how many should it get right?
- 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
- 8
- pick a question to solve
- more labelled examples
- pick a question to solve
- 70
- 80
- set aside test photos
- 104
- 60
- to see if it learned
- 48
- 60
- test on new photos
- tag each photo by type
- test on new photos
- 96
- 18
- 72
- correct ÷ total × 100
- collect fruit photos
- 4
- 34
- 4
- test on new photos
- train the model
- paper and examples
- 9
- gather many examples
- 45
- test on new photos
- set aside test photos
- 18
- try unseen examples
- 56
- 6
- 12
- 5
- work out the accuracy
- 6
- correct bad labels
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students