Online Job Portal With Resume Parsing and Matching

Online Job Portal With Resume Parsing and Matching

Gauri S. Lolage1, Omkar V. Kumbhar2, Yashraj S. Ghorpade3, Jaidahamad D. Pathan4, Mrs. Nutan V. Patil5

!,2,3,4,5 Department of Computer Science and Engineering,

1,2,3,4,5Nanasaheb Mahadik College Of Engineering, Peth, India

Abstract - Campus placements often demand significant manual effort, from matching student profiles to job requirements to tracking application statuses. This process is transformed with the Training and Placement Officer (TPO) portal, built using the MERN stack and AI-powered resume parsing. The portal automates candidate shortlisting by analyzing resumes and ensuring at least a 50% skill match with job descriptions, significantly reducing TPO workloads. Job postings created by TPOs are instantly visible on student dashboards, with automated email notifications keeping students updated and engaged. Beyond facilitating placements, the system empowers students by offering personalized skill improvement recommendations, guiding them to enhance their profiles and stay competitive in the job market. For TPOs, the portal provides robust features like report generation for shortlisted candidates, offering valuable insights for better decision-making. Its intuitive interface ensures seamless navigation for users, fostering a transparent and efficient placement process. By bridging the gap between student abilities and employer expectations, the TPO portal creates a streamlined, fair, and mutually beneficial ecosystem, enhancing the campus recruitment experience for all stakeholders.

Key Words:  Resume Parsing, Job Matching, Automation, Resume Builder, MERN Stack, TPO.