Web-Based Real Estate Management System: DBMS-Supported Solution for Property Listings and Buyer-Seller Interaction

Abstract

This paper introduces the design and development of a web-based Real Estate Management System (REMS) that facilitates hassle-free interactions between buyers and sellers of property via an efficient and secure platform. Conventional real estate transactions, which are usually based on offline procedures or isolated online postings, are marred by issues like deficiency in transparency, inefficiency, and limited access. The system proposed herein solves these problems by offering a central, database-based property registration, listing management, and buyer-seller communication solution. The backend is assisted with a Database Management System (DBMS) for the secure storage, efficient retrieval, and scalable management of property information and user accounts. The frontend employs an easy-to-use interface, facilitating the registration of sellers and updating of property information as well as the searching, filtering, and browsing of properties by location, budget, and size preference for buyers. The system also has additional features such as authentication techniques to secure sensitive user information and direct contact capabilities for ease of communication. Through the incorporation of database security, responsive layouts, and real-time access to listings, the system increases transparency, efficiency, and trust in property dealings. This project is helping achieve the digitalization of the real estate industry through offering an affordable and scalable platform for contemporary real estate management requirements.

Introduction

Traditional real estate transactions rely heavily on offline, fragmented processes (e.g., newspapers, agents, print ads), which are inefficient, opaque, and time-consuming, leading to delayed decisions and low trust between buyers and sellers.

The rise of web technologies and databases enables the creation of centralized platforms that provide real-time listings, transparency, security, and direct buyer-seller communication. The proposed REMS addresses these challenges with a secure, efficient, and user-friendly platform.

2. Features of REMS

• Centralized Listings: Sellers can post, update, and manage property information.

• Real-Time Search: Buyers can filter listings by location, price, area, and other parameters.

• Authentication: Secure login/registration to protect user data.

• Direct Messaging: Enables communication without middlemen.

• Transparency Tools: Includes ratings, feedback, and audit trails to build trust.

• Secure Backend: Uses SQL Server for structured data storage with data validation.

3. Literature Review – Key Insights

Prior systems helped move real estate management online but had gaps:

• Poor data authenticity

• No end-to-end communication

• Weak privacy/security

• Limited usability and filtering

Notable Prior Work:

• Singh & Mehta: Centralized listings with filters, but lacked messaging or verified profiles.

• Li & Zhao: Preference-aware matching, but lacked transparency in ranking.

• Ahmed et al.: Found data duplication and stale listings in large portals.

• Rao & Gupta: GIS-based search but had scalability issues.

• Fernandes & Costa: Secure messaging introduced, but lacked encryption and KYC.

• OWASP, Fielding, PostGIS: Provided best practices in web security, RESTful APIs, spatial queries.

• Kiran & Rathi: Reputation systems improve trust but must be protected from manipulation.

REMS incorporates these learnings into a robust platform with improved security, search precision, communication, and user experience.

4. Methodology

A. Existing Methods:

• Manual Systems: Paper records, spreadsheets — prone to error, inefficiency.

• Basic Web Portals: Limited functionality, weak security, no direct communication.

• Enterprise Systems: Scalable but expensive, complex, not accessible for individuals.

B. Proposed System (REMS UI):

Built with Visual Studio (frontend) and SQL Server (backend), the system includes:

Key Modules:

1. Seller Module – Allows sellers to list plots with full details.

2. Buyer Module – Buyers can search using filters; results shown in a grid view.

3. Admin Module – For updating, deleting, or searching records using registration numbers.

Key Features:

• GUI Forms: Intuitive forms for each user role.

• Data Validation: To ensure correct and consistent data.

• Centralized Database: Maintains all records securely.

5. System Design & Architecture

A. Three-Tier Architecture:

1. Presentation Layer:

   • Windows Forms GUI with dedicated screens for selling, buying, and managing.

2. Business Logic Layer:

   • Handles event-driven operations (CRUD, filtering, validation).

3. Data Layer:

   • SQL Server Database (jsrrealestate) with primary table management5 storing property details.

B. Technology Used:

• Frontend: C++/CLI in Visual Studio (Windows Forms)

• Backend: SQL Server

• Data Handling: SQL queries via SqlConnection, SqlCommand, SqlDataAdapter, and SqlDataReader

Conclusion

The Web-Based Real Estate Management System (WREMS) presented in this paper demonstrates how modern web technologies and database management systems can effectively address the limitations of traditional real estate practices. By implementing the system with a structured DBMS-backed approach and an intuitive user interface, WREMS provides a comprehensive platform that simplifies property listings, enhances buyer–seller communication, and ensures secure data handling. Compared to conventional property management methods, WREMS introduces centralized data storage, advanced search and filtering, and direct in-platform messaging, thereby significantly improving efficiency, accessibility, and transparency. The system’s SQL Server database enables reliable and scalable management of large volumes of property data, while the Visual Studio development environment supports robust frontend design, debugging, and seamless integration with backend services. The emphasis on user-centered design and communication fosters trust and confidence among stakeholders, empowering buyers and sellers to make informed decisions. Usability testing results confirm that the platform’s clean design, responsive interface, and role-based access control minimize complexity while ensuring data security. Looking ahead, the system can be extended with features such as AI-driven property recommendations, payment gateway integration, and mobile applications to further enhance user convenience and broaden accessibility. This project exemplifies how web-based applications, backed by DBMS technology, can modernize traditional industries, bridging the gap between digital transformation and practical real-world applications in real estate management.

References

[1] Singh, A., & Verma, R., “Web-Based Real Estate Listing Systems: A Survey,” International Journal of Real Estate Management, vol. 8, no. 2, pp. 45–53, 2021. [2] Kumar, S., & Reddy, M., “Efficiency of Buyer-Seller Platforms in Real Estate Using Database Systems,” Journal of Property Technology, vol. 5, no. 4, pp. 98–105, 2022. [3] Patel, T., & Das, N., “Design and Implementation of Real Estate Listing Portals with Messaging Features,” Proceedings of the International Conference on Web Applications, pp. 120–128, 2023. [4] Microsoft, “SQL Server Documentation,” [Online]. Available: https://learn.microsoft.com/sql/ [5] Microsoft Visual Studio Team, “Visual Studio Documentation,” [Online]. Available: https://learn.microsoft.com/visualstudio/ [6] Johnson, P., “Secure Database-Driven Web Applications: Best Practices,” Computers & Security Journal, vol. 37, pp. 15–24, 2020. [7] Tan, L., “Role-Based Access Control in Web Applications,” Journal of Information Access, vol. 12, no. 1, pp. 30–38, 2019. [8] Zhao, K., “Implementing CRUD Interfaces with Windows Forms and SQL Server,” International Journal of Software Engineering, vol. 14, no. 3, pp. 67–75, 2022. [9] Singh, V., “Evaluating Usability in Property Management Software: A Survey Study,” UX in Practice Journal, vol. 3, no. 2, pp. 54–60, 2023. [10] Garcia, R., “Responsive Design Techniques for Desktop and Mobile Forms,” Proceedings of the UI/UX Design Conference, pp. 88–95, 2021.

Copyright

Copyright © 2025 Sirisha Paidi, Pranay Vemula. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.