This paper is published in Volume-7, Issue-3, 2021
Area
Computer Engineering
Author
Sanchita Mehetre, Kirti Kamath, Shalakha Shere
Org/Univ
Fr. Conceicao Rodrigues Institute of Technology, Navi Mumbai, Maharashtra, India
Keywords
Android, App, Front End, Roommate Finder, Potential Match, Preferences, Room
Citations
IEEE
Sanchita Mehetre, Kirti Kamath, Shalakha Shere. Roommate Finder, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Sanchita Mehetre, Kirti Kamath, Shalakha Shere (2021). Roommate Finder. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.
MLA
Sanchita Mehetre, Kirti Kamath, Shalakha Shere. "Roommate Finder." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.
Sanchita Mehetre, Kirti Kamath, Shalakha Shere. Roommate Finder, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Sanchita Mehetre, Kirti Kamath, Shalakha Shere (2021). Roommate Finder. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.
MLA
Sanchita Mehetre, Kirti Kamath, Shalakha Shere. "Roommate Finder." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.
Abstract
Accommodation in today’s world has been soaring at high rates. In addition, getting a shelter that matches one’s preference, budget, interest, and proximity is a challenge. This problem becomes, even more, bigger if the person looking for accommodation is a student. For students, factors like affordability, proximity to the university, a similar company, etc. matter the most. There are a number of websites and mobile apps that provide facilities for finding a suitable roommate and vacant apartment, but as of now, there is no such mobile app that helps to find roommates or apartments for a specific university. This application is aimed at trying to solve the major accommodation problem for university students. This application consists of a variety of features like sending messages, searching based on university name and address, potential match based on user’s preferences, and shortlisting. This application is developed using Android API for the front end and Spring MVC for creating Restful web service and Google Maps API for location-based services.