International Research Journal of Education and Technology

 The traditional recruitment process based on resumes has little insight into a candidate's competencies, skills, and academic record. The demand for an automated, data-driven student assessment system has arisen to enable a smooth and accurate placement process. This system gathers real-time data from various assessments, including academics, placement exams, certifications, extracurricular achievements, and personal student profiles, for objective ranking purposes. Shortlisting the candidates through such automated systems becomes possible by allowing recruiters to weigh various factors, thus adding to the functioning of this process. Placement coordinators are provided with an insight as to ensure customized assistance for the students so that a fair and transparent recruitment process is assured. For these reasons, the system aims toward comprehensive candidate evaluation, taking into consideration a broader set of skills and achievements.

Keywords: Automated Ranking, Placement Management, Recruitment Optimization, Academic Assessment, Campus Placement.