REAL ESTATE PRICE PREDICTION SYSTEM-REPPS
| dc.contributor.author | Muhammad Umais Hassan (SP18-BCS-179), Mubariz Ali Ghauri (SP18-BCS-075), Talha Imtiaz (SP18-BCS-079) | |
| dc.contributor.author | LHR TP 8026 | |
| dc.contributor.author | Dr. Jawad Shafi | |
| dc.date.accessioned | 2026-02-16T07:08:19Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | With 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.uri | https://repository.cuilahore.edu.pk/handle/123456789/1689 | |
| dc.language.iso | en | |
| dc.publisher | Library Information Services, COMSATS University Islamabad, Lahore Campus | |
| dc.relation.ispartofseries | LHR TP 8026 | |
| dc.subject | Dr. Jawad Shafi | |
| dc.subject | Fa18 | |
| dc.subject | Department of Computer Science | |
| dc.subject | Software Engineering | |
| dc.subject | REAL ESTATE | |
| dc.subject | LAW/JURISPRUDENCE::Private law::Property and real estate law | |
| dc.title | REAL ESTATE PRICE PREDICTION SYSTEM-REPPS | |
| dc.type | Thesis |