Abstract:
Recruiters, however, have to spend many hours manually screening resumes of
hundreds of candidates for each hiring process because the competitive job market
demands it. There is no good resume screening system that goes through job
requirements and therefore a waste of opportunities between job seekers and
employers.
The project that I would like to present is Smart Resume Parser: Automated
Resume Screening and Analysis System, which is a smart solution for optimizing the
hiring process. The system automatically extracts key information from resume (skills,
experience and education) and use such information to evaluate advanced algorithms
against job descriptions. Once the system is decently objective and efficient, it gives
the recruiters ranked candidate profiles to evaluate.
The system has three functions including keyword matching, skill gap
analysis, and user enabled filtering tools, and it generates the most appropriate
candidate pool. Speeding up the recruiting process and getting candidate assessment
right, so the hiring happens fairly and with the help of data, is the result of the
automation in Smart Resume Parser. The project purpose is to speed up and smart
talent acquisition approach and offer higher efficiency to organizations of any size.
