International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 04 | Apr 2025
p-ISSN: 2395-0072
www.irjet.net
Enhancing House Rental Management System through User Centric Design and Technological Advancement Ganesh Sanap1, Dhruv pandey2, Ayush Khopatkar3, Sagar Gaud4 and Dr Rohini Patil5 1,2,3,4 Student, Computer Engineering Department, Terna Engineering College, Mumbai University
5Assistant Professor, Computer Engineering Department, Terna Engineering College, Mumbai University
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - House rental management systems are essential in modernizing the rental process by improving efficiency and accessibility for both landlords and tenants. This research paper presents a comprehensive analysis of existing rental platforms, focusing on their core functionalities such as property listings, user authentication, communication features, and security mechanisms. Through comparative evaluation, the study identifies key limitations, including low landlord engagement, rigid user interfaces, and minimal adoption of emerging technologies. It further proposes enhancements like intuitive design elements, real-time analytics, and integration of AI and machine for dynamic rent prediction. The findings provide a foundation for developing more user-centric, adaptive, and intelligent house rental systems, aiming to enhance user satisfaction and optimize the overall rental experience.
With the rise of modern web technologies and frameworks like the MERN stack, CodeIgniter, web scraping, and machine learning, there's now huge potential to build smarter, more user-focused systems [3]. For example, machine learning can predict rental prices and provide personalized property recommendations based on user behaviour, while web scraping can automate the updating of property listings and prices from external sources. This research aims to thoroughly analyse existing house rental management systems, assessing their features, benefits, and limitations. By identifying gaps and exploring the potential integration of emerging technologies like AI, mobile-first design, and real-time analytics, the paper looks to uncover opportunities for future growth. The goal is to offer practical insights that can help developers, property managers, and landlords create or adopt more efficient, accessible, and smart rental management solutions that meet the needs of today’s housing market.
Key Words: House Rental Management, Landlords, Tenants, AI and Machine Learning, Property Listing, Rental Prediction, System Performance
2. LITERATURE REVIEW A bunch of studies have looked into how house rental management systems work, what they’re good at, and where they fall short. One study by Fazli et al. [1] came up with a mobile app just for student housing. The goal was to make it easier for landlords and tenants to talk, and to cut down on rental scams something students deal with a lot. They really focused on making the platform secure and pointed out that mobile apps are a solid fit for younger users who are already comfortable with tech.
1.INTRODUCTION The house rental market is growing quickly, fueled by rising urbanization and the increasing demand from landlords and tenants for digital, streamlined solutions. House rental management systems have become essential in this space, offering platforms that handle everything from property listings and tenant screening to rent collection, maintenance tracking, and communication. These systems provide significant advantages over traditional methods, boosting efficiency, transparency, and overall satisfaction for everyone involved [1].
Harun et al. [2] came up with a rental management system that made handling payments and keeping tenant info way more organized. Their setup showed how useful good admin tools can be for property managers stuff like tracking who’s paid, sending out rent reminders, and keeping records tidy. It also helped landlords and tenants stay in the loop with each other, making the whole rental process a lot smoother.
For tenants, these platforms make the rental process easier with features like secure online payments, automated reminders, and real-time communication. Landlords, meanwhile, gain centralized control over their properties, less administrative work, and better rent tracking and maintenance management [2]. However, even with these benefits, many current rental management systems still fall short in important areas like customization, scalability, and user experience—particularly when trying to serve a wide range of users with different levels of tech-savviness.
© 2025, IRJET
|
Impact Factor value: 8.315
Nair et al. [3] went a different route and focused on helping students find places to stay. They built a web app that was super easy to use, with online forms and a recommendation system to help match students with spots that actually fit what they’re looking for. By using data to guide the suggestions, the app made it way quicker and easier for students to find housing that checked their boxes.
|
ISO 9001:2008 Certified Journal
|
Page 1522