A Role -Based Placement Communication And Opportunity Tracking System For College Students Using AI And MERN

Abstract

The College Placement process often suffers from communication gaps, missed opportunities and lack of centralized information management. Traditional methods such as whatsapp groups and emails lead to message clutter, missed deadlines and inefficient coordination between students and placement officers. This paper proposes a Role-Based Placement Communication and Opportunity tracking system developed using MERN Stack (Mongdb,Expressjs React,Node,js). The system provides a centralized platform where placement officers can post opportunities and students can view ,track and apply efficiently .The system includes secure Authentication with role-based access, real-time opportunity updates and AI-based skill gap analysis using cosine similarity. This helps students understand missing skills and receive personalized recommendations. The platform improves communication efficiency, reduces information overload, and enhances placement success rates. The system also incorporates structured dashboards, real-time updates and efficient data management using Mongodb, ensuring scalability and fast retrieval of information. Experimental evaluation demonstrates that the platform significantly reduces communication gaps, improves transparency in placement processes, and enhances student management. Role-based authentication using secure login mechanisms ensures controlled access for administrators and students, thereby improving data security and system reliability. Overall, the proposed solution provides a scalable, efficient, and intelligent platform that simplifies placement management while empowering students with actionable insights to improve their careers readiness.