An AI-Powered Integrated Placement Module with Automated Proctoring and Chatbot-driven Interview Simulation for Higher Education

Abstract: Modern recruitment in higher education requires integrated platforms that evaluate technical skills and soft skills while maintaining examination integrity. This paper presents the design and implementation of a web based Placement Module developed using Node.js, Express.js, MongoDB and EJS (MENE) stack to bridge this gap. The proposed system integrates a secure Online Placement Test featuring real-time camera proctoring to prevent malpractice and an AI-driven Interview Chatbot that utilizes a dynamic database of recently asked industry questions to simulate real-world hiring scenarios. Administrators are provided with a robust dashboard to manage test schedules, update question banks and monitor live sessions. For students, the platform offers a seamless interface to track overall performance analytics, providing data-driven insights into their strengths and areas for improvement. Experimental results indicate that the asynchronous nature of Node.js, combined with the flexible document schema of MongoDB, allows the system to handle concurrent user sessions with high efficiency. This research demonstrates how a unified web- based framework can streamline the placement lifecycle, reducing administrative overhead while enhancing student readiness for professional recruitment.

Keywords: Placement module, Emotional Framework, Web-Based Platform, Higher Education, Interview Chatbot, Node.js, MongoDB