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 — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
- 2.❌ Nisha’s recycling sorter was tested on 40 new waste photos and got 37 right. How many did it get wrong?
- 3.🎯 Ishaan’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
- 4.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
- 5.📦 Tara collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 6.🎯 Meera’s leaf identifier is 70% accurate. If it is tested on 40 new leaf photos, how many should it get right?
- 7.🎯 Tara’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
- 8.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 9.🧪 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
- 10.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
- 11.🎯 Nisha’s spam spotter is 60% accurate. If it is tested on 20 new messages, how many should it get right?
- 12.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 13.📦 Tara collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 14.📋 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
- 15.🎯 Diya’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
- 16.🎯 Kabir’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
- 17.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 18.🎯 Saanvi’s bird-song app was tested on 20 new bird songs and got 14 right. What is its accuracy in percent?
- 19.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
- 20.🎯 Ishaan’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
- 21.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
- 22.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
- 23.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
- 24.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
- 25.🎯 Arjun’s handwriting reader is 70% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
- 26.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
- 27.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
- 28.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 29.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
- 30.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
- 31.❌ Diya’s fruit sorter was tested on 40 new fruit photos and got 32 right. How many did it get wrong?
- 32.🎯 Arjun’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
- 33.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
- 34.📦 Diya collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 35.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
- 36.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
- 37.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
- 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.🎯 Vihaan’s handwriting reader is 90% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
- 40.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
Answer key
- pick a question to solve
- 3
- 42
- correct ÷ total × 100
- 48
- 28
- 81
- 12
- to see if it learned
- correct bad labels
- 12
- try unseen examples
- 96
- pick a question to solve
- 70
- 100
- work out the accuracy
- 70
- paper and examples
- 8
- more labelled examples
- split train and test
- collect fruit photos
- set aside test photos
- 49
- collect fruit photos
- collect fruit photos
- 10
- label each example
- 90
- 8
- 70
- calculate percent right
- 104
- 80
- gather many examples
- tag each photo by type
- work out the accuracy
- 54
- train the model
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students