Abstract
Abstract: Real estate transactions are known for their complexity and uncertainty, which can make it challenging for both buyers and sellers to make informed decisions. Addressing this issue, a machine learning initiative called 'Estate Eyes: Predicting Your Dream Home's Value' has been developed. This project utilizes a user-friendly web interface to collect essential property details and predict the approximate value of a user's ideal home. By integrating user-driven filters and a machine learning model, the platform simplifies the real estate process, reduces the information gap in the housing sector, and empowers users to confidently make informed decisions. The primary objective of this project is to enhance transparency, reduce uncertainty, and improve efficiency in real estate transactions.
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