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PROPERTY LISTING MANAGEMENT USING MACHINE LEARNING

Prajwal M M

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Abstract

ABSTRACT The real estate sector is among the most rapidly expanding industries globally, fueled by urban growth, economic progress, and evolving consumer needs. In the past, property transactions such as buying, selling, or renting were mostly dependent on traditional practices like newspaper listings, brokers, and personal references. These methods, however, often resulted in limited outreach, higher expenses, inefficiency, and a lack of transparency. With the rise of digital innovations, property listing management systems have become an effective solution to modernize and optimize real estate processes. 1.INTRODUCTION By adopting this system, the drawbacks of conventional real estate dealings can be reduced, leading to a more trustworthy, efficient, and technology-driven approach to property management.In recent years, digital technology has transformed the real estate industry by introducing more efficient and transparent practices. One such advancement is the Property Listing Management System (PLMS), which serves as a centralized online platform for listing, managing, and searching properties. A PLMS enables property owners and agents to advertise properties with complete details, while buyers and tenants can easily search for options based on their preferences such as location, budget, or property type. The system ensures accessibility, reduces dependency on intermediaries.

Copyright

Copyright © 2025 Prajwal M. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS50800028436
ISSN: 2321-9653
Publisher: ijprems
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