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dc.contributor.author | M. Musa Bin Khaid, 01-134161-041 | |
dc.date.accessioned | 2022-06-17T10:08:47Z | |
dc.date.available | 2022-06-17T10:08:47Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | http://hdl.handle.net/123456789/12855 | |
dc.description | Supervised by Dr Arif Ur Rehman | en_US |
dc.description.abstract | To highlight the value of real estate in Pakistan I have compiled data that explains approaches how real estate market works in Pakistan. It includes all the aspects including building, land and natural resources. This record features the strategies and apparatuses used to value land costs in the city of Islamabad. Private property isn't just a multi-dimensional item yet in addition considered to have an esteem bearing trademark for some as far as speculation perspective. A preliminary study was conducted to gather data that was further utilized in and proposed that price of residential property is always dependent on few things such as economic, physical, social and legal variables. Thus, Hedonic evaluating model is utilized to distinguish the inherent estimation of the land dependent on both external and internal attributes of the land. House sizes and values of various subsectors were compared based on relativity model additionally stretched out to display conclusive estimation of the land at better places can be distinctive few influencing factors. A nonlinear effect on cost has been seen while expanding floor measure is considered. Essentially, plots confronting School and commercial areas have been seen to be less favored by individuals and thus a lower exchange cost (limited cost) is determined as needs be. The examination inferred that a huge relationship existed between the large scale financial factors and the land costs. To project all this data in such a way that it makes sense to normal person Data Visualization techniques are practiced across this project. This project can aid anyone to quickly navigate to the properties of their desired locations | en_US |
dc.language.iso | en | en_US |
dc.publisher | Computer Sciences BUIC | en_US |
dc.relation.ispartofseries | BS (CS);MFN-P 10386 | |
dc.subject | Real Estate Market | en_US |
dc.subject | Visually Aided | en_US |
dc.title | Visually Aided Real Estate Search System. | en_US |
dc.type | Project Reports | en_US |