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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40095
Volume:
9 |
1 |
Jan 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The demand for user-friendly and efficient digital platforms in the real estate sector has surged with the increasing reliance on online solutions. This research explores the development of a comprehensive full-stack real estate website designed to streamline property search and management. The platform integrates advanced features such as intuitive user interfaces, dynamic property listings, and geolocation-based search capabilities to provide a seamless experience for buyers, sellers, and agents. By leveraging responsive design and robust frameworks, the platform ensures accessibility across devices while offering real-time updates to maintain data accuracy and user engagement. The website employs a robust technology stack, including a combination of frontend technologies like React.js, backend frameworks such as Node.js, and a scalable database architecture. This stack supports functionalities like user authentication, property categorization, and secure payment gateways for booking services. Additionally, the platform incorporates intelligent algorithms for personalized property recommendations based on user preferences, enhancing decision-making and reducing search time. Integrating APIs for mapping and analytics further enriches the user experience by providing insights into neighborhood trends and property values. This research highlights the implementation challenges and solutions involved in creating a full-stack real estate platform, emphasizing performance optimization, data security, and scalability. It also addresses the significance of integrating feedback mechanisms and analytics for continuous improvement. The proposed solution serves as a benchmark for the real estate industry’s digital transformation, offering an adaptable model to meet evolving market demands and user expectations.
KEYWORDS
Publication Date
7/31/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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