Resume Parsing for Enhanced Candidate Screening

A Resume Parsing tool which takes a large set of resumes from the user and returns a ranked list based on how well the resume adheres to the Job Description. The goal is to utlize machine learning techniques, highlighting its accuracy, efficiency, and adaptability in transforming unstructured data intoa ranked list for efficient recruitment process.

Libraries Used

Pandas Numpy NLTK Streamlit Pypdf Sklearn mlxtend.classifier