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Development for Housing Analytics-HomeRun

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dc.contributor.advisor Homayoun, Houman Deshpande, Saurabh
dc.creator Deshpande, Saurabh 2018-07-25 2020-01-29T18:15:30Z 2020-01-29T18:15:30Z
dc.description.abstract Real estate is a huge domain, and people think of selling, renting and purchasing the property which includes huge investments. The most important part comes while dealing with the property is “Searching”. There are millions of homes spread across US states and more and more people are hunting for properties, which suit their needs and pockets. Searching for a property has become easier because of the Internet Revolution. People have started listing the properties online. Now, as smartphones have gained huge popularity as they are handy and has access to the Internet on the go. There is an incredible growth in the operating systems that support mobile devices. Android OS and IOS are the leading operating systems that have millions of applications for their users. More than 75% of the mobile devices support Android. [1] Although these smartphones can be used to browse the web for searching the property, again one has to go do the tedious job of searching the property. Even if, one finds an interesting property listed they have to go to multiple websites to get all the information about that property and there is much more you do while considering your next home. Example, Google Maps for the location and navigation, different state websites listing corresponding state properties, list down all the details of the properties, locality inspection. To ease this process, an Android application ‘HomeRun’ which is a one-stop destination that provides users with all the necessary features integrated. One can search a property based on the location, which may include for a specific state, city or zip code. Users can also use detailed search option where they can feed in the desired number of bedrooms, price, area etc. and get a list of matching properties. Users can compare two or more properties using the feature of spider graph and also look for zones with residential areas with heat maps. Apart from all these features, the user has been provided with the ability to get directions to that property. [1] The application is developed in native Android development environment using JAVA. en_US
dc.language.iso en en_US
dc.subject Android en_US
dc.subject real estate en_US
dc.subject Google Maps en_US
dc.subject heat maps en_US
dc.subject listviews en_US
dc.title Development for Housing Analytics-HomeRun en_US
dc.type Thesis en_US Master of Science in Computer Engineering en_US Master's en_US Computer Engineering en_US George Mason University en_US

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