International Journal on Science and Technology

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Cupidly: Enhancing Fair and Engaging Matchmaking through a Mern Stack Web Application

Author(s) Ms. Sandhya Rana, Mr. Shivraj Chourasia, Ms. Devshri Parekh, Ms. Varikuntla Sai Lakshmi, Ms. Ankita Verma
Country India
Abstract Online matchmaking services have become commonplace for forging both social and romantic ties, yet many such platforms neglect to spotlight recently registered users. Existing algorithms typically reward longer-tenured or more active members, thereby skewing overall user engagement. This study introduces Cupidly - Matchmaking Web App constructed on the MERN (MongoDB, Express.js, React.js, Node.js) stack, which mitigates this bias using a fresh-feed-first design.
Cupidly enhances visibility for new users by featuring their profiles prominently in the interactive feed, increasing their exposure and improving the likelihood of a significant early match.
The platform is built on a foundation of user registration that includes secure login, a user-friendly interface, and a backend designed for swift scalability. This document describes the framework of the service, its deployment process, and the advantages of a feed-oriented approach in contrast to conventional swipe formats or inflexible, parameter-intensive matching algorithms.
Evaluation in a small controlled test environment shows that Cupidly distributes interaction opportunities more evenly, establishing a resilient foundation for future incorporation of AI-guided recommendation layers.
Keywords Matchmaking System, MERN Stack, User Engagement, Feed Prioritization, Fair and Engaging Platform
Field Computer
Published In Volume 16, Issue 4, October-December 2025
Published On 2025-10-07
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