Ai-powered real estate platform with renovation services
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
UMT.Lahore
Abstract
Gharbaar Estate is an Artificial Intelligence-based real estate portal that helps to solve one of the main problems in the Pakistani property market -the absence of a single platform to buy/sell a house and secure a renovation service. Maximizing util ization of existing systems: Existing systems are scattered and causes inefficiency in the processes, poor communications and support and no consolidated support. Our project filled this gap through the unification of these services into a single digital platform. Its undamental aspirations are the consolidation of property listings and renovation services, thefacilitation of natural language-based property finding, the provision of AI-basedrenovation recommendations on uploaded property photographs, the association of a userwith verified renovators, and lastly the provision of safe, transparent, and legaltransactions. It is eveloped on MERN stack (MongoDB, Express.js, React.js, de.js),RESNET50 will be used in renovation analysis, NLP will be used to make searchingproperties intuitive, communicate in real-time by using Socket.io, and utilize Google Maps API as the location mapping tool, and it will deploy Render and MongoDB Atlas.The system is self-contained with customized dashboards by buyers, sellers, andrenovators, AI-connective modules of renovation tips, and chat responsiveness. Theresults of the testing demonstrated 86 ercent accuracy in the predictions of therenovation and a 70 percent saving of time in search result using natural language input. These can be seen as results of enhanced user interaction and decision-making whencompared with the old platforms. Conclusively, Gharbaar Estate automates the process fbuying/selling property and carrying out home improvement into an easily navigable AI-supported journey that makes individuals invest wiser and develop trust among all parties. The areas of future improvement are augmented reality-based previewing of renovations and the regional anguage support to make it more approachable.