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A Data-Driven and Collaborative Mobile Application to Assist Sensors using Artificial Intelligence and Machine Learning

Authors

Aaron Tse1 and Yu Sun2, 1USA, 2California State Polytechnic University, USA

Abstract

There are numerous arguments as to what the best GPS software is [1]. However, there are no definitive answers as to which is the best. In this paper, we use multiple GPS applications tracking user locations to determine what GPS is best in terms of tracking users through a mobile app [3]. The app utilizes a GPS as well as a Google Firebase Realtime Database to manage, pinpoint, and track users’ locations [2]. The application is explicitly applied to track locations of people that need care, such as the elderly. This will allow concerned caretakers to help keep track and take care of people in need.

Keywords

Android, GPS, Flutter, Firebase, Google Maps.

Full Text  Volume 12, Number 17