A MOBILE APPLICATION FOR NEARBY FIELD COMMUNICATION USING CROSS PLATFORM
Author(s): Ashwitha Sarode, K Hema, M Pavan Chowdary
Abstract: In recent times the usage of mobiles is being increased rapidly, and for developing applications for
the mobiles, the use of mobile technologies is rising at an alarming scale. Due to this, more
powerful and efficient mobile applications are needed in order to keep up with this trend. Since
there exists several mobile platforms (iOS, Android, etc.), each one with different SDK (Software
Development Kit) tools and specific development capabilities, application development becomes
more complicated and expensive. The challenge is to come up with a solution that allows us to
deploy in different platforms using a single SDK tool and maintaining the same performance as
the native application. A suitable solution is cross-platform used to run same application on
different platforms and to develop a mobile application. The softwares required for developing
mobile application are Ionic Framework and Angular JS. In this when the user opens the
application, it spotifies by use of the location sensors available in his/her mobile to capture the
latitude and longitude of the current location. Those GPS co-ordinates are sent to the location
sensor present in the application server side. Thus the location sensor communicates with the near
field sensor and checks with the distance the user has mentioned and then produces the results
based on his search. These results are displayed to the user and from there the user can get
directions and also contact to the place if needed. Spotify provides the best solution for the users
who regularly make use of the maps for searching places nearby. It also helps the people who are
new to some city and want to try out some new things, for them the application will be of great
use as they can find each and everything nearby. Spotify accommodates new technologies that are
currently being used in the industry for developing applications and a database known as firebase
to store the data, this database is implemented by Google . The processing of input output is as
follows, user can select the accessibility option for the location sensor, then gps co-ordinates trap
users latitude and longitude data. Once data is obtained, user selection procedure occurs. When
user provides the input, it sends the gps coordinates to the location sensor to mark the exact location
and from there nearby elements are gathered.
Project ID: DLAP-95
Paper Stream: Information Science & Engineering College
College Name:SREE VIDYANIKETHAN ENGINEERING COLLEGE-kurnool
Published Date: 2021-04-06 17:09:32
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