Web-based platforms are essential in expediting real estate transactions as the real estate sector undergoes a digital revolution. A web-based platform called "True Square Feet" is presented in this paper. Its purpose is to increase brokers' efficiency when purchasing, selling, and renting real estate. The platform ensures smooth property listings and client interactions by integrating contemporary technologies like SQL for safe data management .NET for backend processing, and React for dynamic user interface.[1] Our research focuses on the issues that brokers experience in traditional real estate transactions, such as manual data administration, a lack of real-time property analytics, and inefficient communication routes. Using a comparative analysis, we show how the proposed platform overcomes these challenges by providing automatic property matching, AI-driven price estimation, safe online transactions, and an intuitive broker dashboard. Furthermore, new user testing results show a 40% reduction in transaction processing time and a 60% increase in broker-client interaction compared to previous approaches. The study finds that using web-based solutions in real estate brokerage not only increases operational efficiency but also improves the entire client experience. Future upgrades include blockchain for safe contracts, machine learning for predicting market trends, and AR/VR for virtual property tours, which will further revolutionize real estate transactions. Keywords: real estate, property dealing, web application, brokers, digital transformation, artificial intelligence in real estate, smart transactions.
SQL, AI driven, Machine Learning, Customer centric, Real Estate.
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