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Data analysis for synthetic data with machine learning models
We created a fitness tracker based on data from sensors available on a smartphone.
fitness
Bowling app
read the README.md file
Our fitness tracker uses machine learning to process sensor data, tracking distance, calories, and activity levels efficiently with minimal overhead, offering practical fitness insights.
We created a Matlab code for a Fitness Tracker app
Test
A tracker of activity such as sitting, walking or running throughout a week, that can remind you to be more active according to goals you set
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