Automated System for Career Advancements of the Faculties of Higher Education

The current paper proposes an Automated System for Career Advancements of Faculty in Higher Education for enhancing the faculty performance appraisal and career advancement. It alleviates the demerits of the conventional manual approach of appraisal, which are ineffectiveness and inconsistency, and presents a new-age solution.The system includes secure authentication, real-time tracking of research output, and a template for self-assessment by the faculty to track their research papers, conference presentations, projects, and lectures. An event logging system provides accountability, and an admin panel provides administrators with a facility to view, sort, and download submissions.Technologically, the system takes on a full-stack approach: React.js as front end, Node.js with Express.js as back end, and MySQL as database. JSON Web Tokens or JWT is utilized to authenticate the user. Users can perform their appraisals, while admins can monitor and assess submissions.It is a role- based access control compliant approach to provide users various access levels for department heads, admins, and faculty. It provides fact-based information on decision- making at the institutional level, such as faculty and research productivity performance trends.The system also provides security against data security through multi-factor authentication and impartiality through even parameters of evaluation.