Paper Key : IRJ************930
Author: Aditya Kumar Soni,Aman Khan,Aman Kumawat,Anushka Bhanpiya,Juhi Shrivastava
Date Published: 02 May 2024
Abstract
In today's rapidly evolving work landscape, the dynamics of hiring are undergoing a profound shift. The platform integrates advanced technologies, including Python Flask for frontend development.Through a comprehensive system consisting of admin, instructor, and student panels, users can engage in various activities such as registration, assessment participation, and video submission.A key innovation of this platform is its utilization of facial sentiment analysis to extract emotional cues from candidate videos. These cues are analyzed and visualized in the form of pie charts, enabling recruiters to gain deeper insights into candidatesemotional responses during assessments. The admin panel provides administrators with oversight capabilities, facilitating user management and result monitoring.Through rigorous testing and validation processes, this research demonstrates the effectiveness and reliability of the proposed platform in enhancing the efficiency and accuracy of hiring processes. The platform's intuitive interface and seamless integration of technologies offer a user-friendly experience for recruiters and candidates alike. Overall, this research contributes to advancing recruitment practices by leveraging technology to better understand candidate suitability and demeanor.