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GRENZE International Journal of Engineering and Technology Vol. 12 (2026), Issue 1

ROJGARSARTHI: A Smart Job Portal System for Connecting Employers and Job Seekers

Authors

Anagha Jayesh Patil, Kunal Vikas Patil, Atharva Arvind Patil, Prathamesh Devprakash Mishra

Abstract

Recruitment often faces inefficiencies due to the lack of a unified, intelligent platform, leading to delayed hiring, poor candidate-job alignment, and missed opportunities. RojgarSarthi, an AI-powered resume ranking system, addresses this by automating candidate evaluation based on job criteria. The platform supports two user roles—recruiters and job seekers—with dedicated authentication and profile management. Recruiters can create and manage job posts, while candidates apply by submitting resumes. A machine learning-based ranking engine, using Decision Tree and Random Forest algorithms, scores applicants out of 100 based on skills, projects, internships, and experience. This generates a ranked applicant list, enabling faster, data-driven decisions. Features like real-time notifications and in-platform messaging enhance communication for status updates, interview calls, and offer letters. Built for scalability and adaptability in a multi-company setup, RojgarSarthi enhances transparency, accuracy, and efficiency for both employers and job seekers.