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Android Application for Physical Activity Tracker Using Deep Learning

This project is mainly for human activity recognition using Convolutional Neural Network Deep Learning Model. An inertial sensor such as an accelerometer of the smartphone is used to predict the physical activity such as sitting, standing, walking, running, jumping, and falling. The mobile application is used to recognize the activity, update emergency contact for fall alert function, make appointment with doctors, and view burned calories. A web application is developed to manage appointments, data visualization for burned calories, and activities' duration.