Paper Key : IRJ************655
Author: Prathamesh A. Kaple,Krish S. Patil,Sanjyot S. Nimgade,Rushikesh G. Kumre,Prof. P.g. Nemade
Date Published: 01 Mar 2025
Abstract
This project develops a machine learning model for predicting real estate prices by analyzing historical trends, economic indicators, and demographic data. By integrating diverse data sources, including market reports and urban development plans, the model aims to provide accurate insights for buyers, investors, and real estate professionals. Our user-friendly platform will visualize price trends and forecasts, enhancing decision-making and contributing to a more efficient real estate market. Ultimately, this project seeks to contribute to the evolving landscape of real estate analytics, fostering a more transparent and efficient market.