Resume Screening Using Hybrid Deep Learning Model

Hiring remains a ubiquitous challenge faced by industries worldwide, with employers perpetually seeking top-tier talent while maintaining cost-efficiency. The current recruitment landscape necessitates a meticulous review of profiles sourced from candidates or recruiting agencies, involving extensive assessments by in-house business stakeholders. However, the integration of machine learning models for automated resume screening offers an assuring solution that streamlines the arduous process and empowers employers to make critical shortlisting decisions efficiently. By harnessing the power of these AI-driven models, organizations can significantly alleviate the burdensome and time-consuming aspects of resume evaluation. The proposed system classifies the resume into categories as per the job description from the employers and then the top candidates can be ranked from them, who exactly match the job description specified.