NLP-Driven ML for Resume Information Extraction
Kedar Gawhankar, Ashutosh Deorukhkar, Aditi Miniyar, Hitesh Kapure, Bincy Ivin · 2024
In the competitive realm of job seeking, resumes act as a ticket to various opportunities that unlock a professional venture. This research paper unveils a transformed web application tailored for streamlined resume parsing. The project combines the technology of Natural Language Processing (NLP), user-friendly design principles, and robust web infrastructure to create an innovative tool for automating the resume analysis process. Adapting the advanced NLP techniques, the application efficiently extracts essential information from diverse resume formats, including skills, education, work experience, and contact details. By adopting the power of NLP libraries and methodologies, the system optimizes the accuracy and efficiency of the parsing process. By providing a thorough tool that enhances the efficiency of candidate evaluation, the project addresses a critical need in modern recruitment processes.