| dc.contributor.author | Naqvi, Syed Faris Hussain Reg # 72947 | |
| dc.contributor.author | Aimad, Muhammad Khurram Reg # 72989 | |
| dc.contributor.author | Khurram, Isfandyar Reg # 72999 | |
| dc.date.accessioned | 2026-07-14T04:22:36Z | |
| dc.date.available | 2026-07-14T04:22:36Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/21475 | |
| dc.description | Supervised by Hadiqua Fazal | en_US |
| dc.description.abstract | The “Khuwaab Real Estate Pro” mobile application is the first of its kind app that we establishing to reshape the real estate industry in Karachi Pakistan. The app eliminates the problems of information and other problems that have caused problems in the development of the real estate business for ages. The app utilizes modern technology such as machine learning and artificial intelligence to guide the the tools and information that will help them make suitable choices in the users on real estate market. Some of the app’s major features include a simple interface where users can look through the property that is listed as well as a real estate predictive pricing model using machine learning that will provide the recommended price for a specific property. Moreover, the app also features secure login and user profile capabilities for enhanced user privacy. The price prediction model which is one of the class of models used in the app has been trained with a comprehensive dataset of prices of properties in Karachi in the year 2023. Our dataset was taken from Kaggle which is an authentic dataset site which makes our dataset reliable and valid. This model is deployed as an API built with flask on heroku where users are availed of property’s estimation +that helps in decision making. Our project is currently 100% complete, with core functionalities such as user authentication, ad posting, marketplace browsing, and price prediction already implemented and working. The project's scope is currently limited to residential properties within Karachi, but there is potential for future expansion to include other property types and geographical regions. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.relation.ispartofseries | BSCS;MFN BSCS 543 | |
| dc.title | KHUWAAB REAL ESTATE PRO | en_US |
| dc.type | Project Reports | en_US |