Job Portal Web Application Using the MERN Stack

This research paper presents the design and implementation of a full-stack Job Portal Web Application developed using the MERN stack—MongoDB, Express.js, React.js, and Node.js. The study addresses the limitations of traditional recruitment methods such as manual resume screening, newspaper advertisements, and fragmented digital job listings. The proposed system provides a centralized, interactive, and scalable platform that connects job seekers with employers through features such as secure authentication, job posting, job searching with filters, profile and resume management, and application tracking. The paper explains the system architecture, functional modules, data flow model, technology stack, and implementation methodology in detail. Performance and usability evaluations demonstrate that the application offers low latency, stable performance under load, and an intuitive user interface. Security considerations, including encrypted credentials and controlled user permissions, ensure safe data handling. The platform supports cloud deployment and horizontal scalability, making it suitable for campus placements, corporate hiring, and freelance opportunities. Overall, the research highlights how a MERN-based recruitment system can simplify hiring workflows, enhance accessibility, and offer a modern technological solution to recruitment challenges. The paper concludes with potential future enhancements such as AI-powered job recommendations, resume parsing, interview scheduling, and mobile app integration.