Abstract :

The Online Real Estate Management System using Machine Learning aims to digitalize and optimize property buying, selling, and renting processes. Traditional real estate platforms rely heavily on manual filtering and agent-driven decisions, which are time-consuming and inefficient. This system integrates machine learning algorithms to predict property prices, recommend suitable properties, and analyze market trends. User preferences, historical data, and location-based features are used to improve decision-making accuracy. The platform supports buyers, sellers, and agents through intelligent automation. By reducing human intervention, the system enhances transparency and reliability. Overall, it improves user experience and operational efficiency in the real estate domain.