Full-Stack Integrated Hiring and Student Assessment Platform using MERN Stack

Abstract

Efficient recruitment and objective student evaluation are critical for modern educational and corporate environments. This paper presents the development of a comprehensive full-stack hiring and student assessment platform designed to streamline the recruitment process for undergraduate students. The proposed system integrates a React.js frontend with a Node.js/Express.js backend and MongoDB database (MERN stack) to provide a secure and scalable environment for multi-modal assessments. The platform features a robust admin dashboard for real-time result analytics, question management via bulk CSV uploads, and automated student communication. Key security measures, including JWTbased authentication and bcrypt password hashing, ensure data integrity and secure access. The study demonstrates how modern web technologies can be leveraged to create a high-performance, user-friendly tool for large-scale academic and professional evaluations.