• Abhinand S Anand
• Dhyanbal L P
• Badarinadh A P
• Nivin K S
• Daya Naik

Manual resume screening is time-consuming, error-prone, and often biased—especially with the surge in job applications via online portals. To address this, we developed an automated resume screening system using machine learning and natural language processing (NLP).The system extracts and preprocesses resume and job description text, then uses TF-IDF and cosine similarity to match candidate qualifications with job requirements. Applicants are ranked by relevance, enabling efficient and objective shortlisting.With support for multiple formats (PDF, Word) and a user-friendly interface, the system streamlines hiring, reduces bias, and saves time. Scalable for companies of all sizes, it modernizes recruitment by ensuring the best candidates are identified quickly and fairly.

Automated Resume Screening System Using Machine Learning

"Automated Resume Screening System Using Machine Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.749-754, July-2025, Available :http://www.jetir.org/papers/JETIRGX06139.pdf

"Automated Resume Screening System Using Machine Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp749-754, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06139.pdf