Supervisor Matcher System

This project introduces SupervisorMatcher, a web-based platform developed to assist students in finding the most suitable supervisor for their final-year projects. By leveraging an advanced matching algorithm, the system uses Jaccard Similarity to assess the alignment between students' areas of interest and supervisors' expertise. The platform is designed to enhance the supervisor-student relationship and improve project allocation efficiency by providing personalized matches based on shared academic interests. The system consists of two primary user modules: students and supervisors. Students can register, submit their academic interests, and request connections with suitable supervisors. Supervisors, in turn, can add their areas of expertise, review student profiles, and accept or reject connection requests. Real-time chat functionality allows for seamless communication and collaboration between students and supervisors, ensuring that project ideas are discussed and clarified effectively. Built using Spring Boot for the backend and ReactJS for the frontend, SupervisorMatcher offers a scalable solution to match students with the most relevant supervisors, fostering academic collaboration and improving project outcomes. With a user-friendly interface and robust administrative features, the platform is designed to streamline the supervisor-student matching process, benefiting both students and academic staff.

Keywords: Supervisor Matching, Jaccard Similarity, Web-Based Platform, Final-Year Project, Student-Supervisor Matching, Academic Collaboration.