Activity-Classifier-App

This application recognizes human activity using machine learning. A smartphone is used to gather human activities using accelerometer, gyroscope, orientation, proximity sensors and GPS. By using these sensors, we can obtain the datasets and classify the dataset using support vector machine (SVM). The data set is visualized using the plotly library. The power of the application is analyzed using power tutor.