AI-Enhanced Campus Recruitment Portal for Direct Student-Recruiter Interaction and Smart Resume Enhancement

Abstract

This work provides an AI-powered campus recruitment tool designed to automate the engagement processes in university recruitment. It seeks to solve some of the major challenges found in recruitment processes, such as skill-role mismatches, delays from manual screening, scalability issues, and recruitment bias [1]. The tool employs ML generalisation for candidate-job matching and feedback loops, as well as credential parsing and improvement using NLP [2][7][11]. Due to the work’s cloud-native model, designed with Docker and Kubernetes, it provides concurrent cross-institutional recruitment at scale and with high performance [5]. Incorporating AI for resume boosting reduces the time spent reviewing resumes in the hiring process by almost 60%. Additionally, it increases match improvement and graduate employability rates. Thanks to the system’s modular structure, it is compatible with large company HR systems, making it applicable to hiring in both educational and corporate settings [9].