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dc.contributor.author | Mujtaba Tariq, 01-135211-061 | |
dc.contributor.author | Zarmeen Rizwaan, 01-135211-087 | |
dc.date.accessioned | 2025-07-07T06:44:21Z | |
dc.date.available | 2025-07-07T06:44:21Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | http://hdl.handle.net/123456789/19762 | |
dc.description | Supervised by Dr. Erum Ashraf | en_US |
dc.description.abstract | The Smart Construction Modelis an all-encompassing web-based system aimed at the transformation of decision-making in the construction and real estate sectors through integration with the latest technologies. Most approaches to property search and construction planning are still cumbersome and time-consuming, with elaborate efforts usually required to obtain relevant information on various aspects like costs, societal service provisions and properties on the market. These inefficiencies are eliminated in this project by employing dynamics frontend/backend systems with machine learning insights involving the use of a modern user interface library called React, node.js server-side technology and python-based machine learning models. The system structure, which forms the aim of this paper, comprises of four main functions that seek to enhance various aspects of real estate decision-making. Hence, the cost estimation component provides the users with calculations of construction costs regarding the specific aspects, area, types of materials and labor requirements for their construction projects. Secondly, a well developed user search section whereby people use their search engine to look at the list of housing societies either by its name and or by amenities is convenient since the person will know which society to join. The XGBoost algorithm to make the prediction of house prices in the future; users ratify the past data used in the calculation of the house prices and thus make them make the right decisions on investments. Finally, the society recommendation system implemented K- means clustering algorithm and K-Nearest Neighbor (KNN) to recommend the society of the choice, that meets the user’s preferences such as budget. Security is an important factor in the platform and as such the system adopts the use of JSON Web Tokens (JWT) to handle the user authentication. Moreover, there are such components like an administrative panel allowing beneficial control over the existing user actions and various operations within the system while providing users with the most effective usage experience. The Smart Construction Model provides significant value to real estate investment and construction planning by providing an early-stage society selection advice, accurate construction cost and house price forecasts, and sophisticated property recommendation system. Consequently, it addresses some of the major issues of the industry while offering an enhancement to the existing approaches rather than a mere optimization. As a decisionmaking tool, this optimizes complicated analysis problem-solving tasks and provides the user with a progressive, technologically informed guide to the constantly shifting world of property investment and construction. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Computer Sciences | en_US |
dc.relation.ispartofseries | BS(IT);P-02333 | |
dc.subject | Smart | en_US |
dc.subject | Construction | en_US |
dc.subject | Model | en_US |
dc.title | Smart Construction Model | en_US |
dc.type | Project Reports | en_US |