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Statistical House Renting System


Darshana Jeetendra Bhayde , Thakur Polytechnic; Saurabh Kushkumar Shinde, Thakur Polytechnic; Humera Sahil Girkar, Thakur Polytechnic; Areesha Mohd Jaffer Sayed, Thakur Polytechnic


Statistical House Renting System


In this paper we have developed a graphical representation of rental housing web application using html, CSS, PHP, Java, Android studio and MongoDB for storing data .This gives the functionality for buyers, allowing them to search for houses by using various features and also solve queries using chatbot or simply ask doubts in comment section. It further provides functionality for the seller, authorize them to log into the system and add new advertisements or delete existing ones. For this each user is provided a login account with login ID and password. In this project we are using html, CSS, BOOTSTRAP, PHP, and Java to create a website which makes it easier for a user to search for their favourite houses for preferable conditions. This will be beneficial for customers as well as landlords. An efficient home rental system which users can access through their mobile phone with no hassle is a desire of every tenant. In this era of technology no one want to roam around to find a vacant house. House for living is one of the basic needs of people, therefore to make it easier and accessible by every people we represent a statistical home rental system which provides every needed facility. There will be many other features like a chat bot, filters and review box for receiving public views for our services. The system was developed in such manner that it provides maximum user friendly interface.

Other Details

Paper ID: IJSRDV7I110247
Published in: Volume : 7, Issue : 11
Publication Date: 01/02/2020
Page(s): 354-357

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