Resume Validation and Filtration using Natural Language Processing

In today's world recruitment has become a tedious process. It is very difficult for the recruiters to read each and every resume manually. If there is an opening for a position in the firm, millions of people will send their resumes to the company to apply for that position. It is a tough task for a company's recruiters to manually look through hundreds of resumes and choose the best prospects for the position. The suggested web application is developed in such a way that it makes the hiring process considerably easier and simpler. This web application helps us to screen and rank the candidates resumes. The submitted resumes are then compared with the job description and finds the best profiled resumes using the technique like Natural Language Processing (NLP). Finally, the resumes are scored and ranked from best to worst match. This ranking is only available to the corporate recruiter who is looking to choose the best profiled prospects from a wide pool of applications. NLP offers a data-driven approach to resume screening that not only saves you time per candidate but also helps you make better recruiting decisions. NLP also allows us to rate and categorize applicant profiles while eliminating human biases.