REAL ESTATE PRICE PREDICTION SYSTEM-REPPS

dc.contributor.authorMuhammad Umais Hassan (SP18-BCS-179), Mubariz Ali Ghauri (SP18-BCS-075), Talha Imtiaz (SP18-BCS-079)
dc.contributor.authorLHR TP 8026
dc.contributor.authorDr. Jawad Shafi
dc.date.accessioned2026-02-16T07:08:19Z
dc.date.issued2022
dc.description.abstractWith the increase in number of housing societies and real estate business a large number of computational developments has been carried out globally in this area. Consequently, several real estate prediction systems have been proposed in recent past. However, few research and development attempts have been carried out in this area in Pakistan. Furthermore, these systems can only provide a platform for real-estate prices and there is a dearth for prediction system in Pakistan. This research and development study address this research gap by proposing a real-estate price prediction system in Pakistan and for only big cities. Our research and development contribution in this area will be two-fold: (i) corpus generation and (ii) by applying state-of-the-art machine approaches to predict real estate prices.
dc.identifier.urihttps://repository.cuilahore.edu.pk/handle/123456789/1689
dc.language.isoen
dc.publisherLibrary Information Services, COMSATS University Islamabad, Lahore Campus
dc.relation.ispartofseriesLHR TP 8026
dc.subjectDr. Jawad Shafi
dc.subjectFa18
dc.subjectDepartment of Computer Science
dc.subjectSoftware Engineering
dc.subjectREAL ESTATE
dc.subjectLAW/JURISPRUDENCE::Private law::Property and real estate law
dc.titleREAL ESTATE PRICE PREDICTION SYSTEM-REPPS
dc.typeThesis

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