RoomMate: An AI Optimized Space Rental System

Authors

  • Ayesha Farooq Institute of Computing, MNS University of Agriculture, Multan, 60000, Pakistan
  • Israr Hussain Institute of Computing, MNS University of Agriculture, Multan, 60000, Pakistan
  • Hifza Iman Institute of Computing, MNS University of Agriculture, Multan, 60000, Pakistan
  • Nagina Kiran Institute of Computing, MNS University of Agriculture, Multan, 60000, Pakistan
  • Nadeem Iqbal kajla Institute of Computing, MNS University of Agriculture, Multan, 60000, Pakistan
  • Muhammad Ahsan Jamil Institute of Computing, MNS University of Agriculture, Multan, 60000, Pakistan

DOI:

https://doi.org/10.52700/scir.v7i1.183

Keywords:

RoomMate, Student Housing, Room Sharing, React Native, AI Chatbot, Rental Platform, Node.js, MongoDB, Rental Sector

Abstract

The growing demand for affordable and flexible student housing has highlighted the shortcomings of traditional rental platforms. Most existing services like Airbnb, OLX, NestAway, and NoBroker primarily cater to families, professionals, or tourists—leaving students underserved. These platforms often lack essential features like room-sharing, roommate matching, and affordable short-term options near campuses. Security and trust are also major issues, as many platforms do not offer student-focused verification systems, increasing the risk of scams and fake listings. In addition, the absence of live support or AI chatbots results in delayed assistance for new users. Admin control is often weak, with poor content moderation and no dedicated admin dashboard to manage listings and users effectively. RoomMate addresses these gaps by offering a cross-platform, student-centric mobile application tailored to the unique housing needs of students. It enables users to find, share, and manage rentals within a trusted community. The app features role-based access for tenants, landlords, and administrators, with real-time communication, secure authentication, and strong administrative oversight. In short, RoomMate provides a cost-effective, reliable, and community-driven solution for student housing empowering a digital transformation in the rental space.

Published

2025-06-23

How to Cite

Ayesha Farooq, Israr Hussain, Hifza Iman, Nagina Kiran, Nadeem Iqbal kajla, & Muhammad Ahsan Jamil. (2025). RoomMate: An AI Optimized Space Rental System. STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH, 7(1), 51-65. https://doi.org/10.52700/scir.v7i1.183