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Multifunctional Resume Analyzer

Salil Liman, Sanika Rajurkar, Abhishek Raha


Agencies and numerous high-level organizations get agitated by an outsized range of awards, jobs or higher studies-seeking folks with numerous resumes. The challenge is of managing large volumes of textual data and selecting the most suitable candidate from a pool of applicants. It suggests that the process of choosing the best-fit candidate is difficult due to the vast amounts of information that must be processed. This project provides a wide range of solutions to the existing system that helps evaluators to find the best fit. It uses Artificial Intelligence to analyse information from resumes, find keywords and group them based on sectors and show the evaluator most relevant resumes based on keywords and ultimately matching the keywords. First, a candidate/nominee uploads a resume to the web platform that is stored in the MySQL database. A parser is used to extract necessary information from resumes and select a certain number of resumes to be presented to an evaluator.


Organizations, resumes, artificial intelligence, MySQL, evaluator

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