• Amit Kadam
• Prof. Archana Dongardive
• Lokesh Khachane
• Mahesh Pandhawale
• Prof. Sahebrao Bhalshankar

When searching for jobs, candidates typically sign up on multiple job portals to receive notifications about new job opportunities. They then explore listings that align with their qualifications. To enhance this process, we propose a system where job seekers can upload their resumes and receive a similarity score for each job post. This score reflects how closely their resume matches the job's requirements, helping them quickly identify and apply to the most relevant positions. The system analyzes the candidate's skills, projects, and previous work experience and compares them to the job post's attributes, such as responsibilities, descriptions, and requirements, using various NLP models to generate the similarity score. Employers can also view these scores to streamline their candidate selection process. In this way, the system serves as a bridge between employers and candidates, making the hiring process more efficient.

NLP (Natural Language Processing), Resume Analysis; Candidate Evaluation; Recruitment Automation.

"Bridging Talent and Opportunity with NLP-Based Resume Matching Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.g895-g900, January-2025, Available :http://www.jetir.org/papers/JETIR2501695.pdf

"Bridging Talent and Opportunity with NLP-Based Resume Matching Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppg895-g900, January-2025, Available at : http://www.jetir.org/papers/JETIR2501695.pdf