Parse details from a resume using natural language clarifying, find the keywords, assemble them onto sectors based on
their keywords and lastly show the most relevant resume to the manageress based on keyword matching. Initially, the user
transmits a resume to the web platform. The parser parses all the crucial information from the resume and auto fills a form for
the user to analyze. Once the user confirms, the resume is displayed to the employers. Also, the user gets their resume in both
JSON format and GUI view. Parsed data include name, email address, social profiles, years of work experience, work
experiences, years of edification, education experiences, publications, certifications, volunteer experiences, keywords and finally
the cluster of the resume , Computer science, human resource are the best examples.
