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RESUME-PARSER

Resume Parser is a Web Application that will act as a bridge between the recruiters and candidates. We are trying to provide an application where a candidate can easily search for relevant job postings and where a recruiter can easily search the suitable candidates for the job, based on their skills and profiles. The app allows a user to upload his/her resume; this uploaded resume is then analysed and parsed using various regular expressions, pattern matching algorithms, and natural language processing-based algorithms. Using this feature, we extract relevant details of the user like their name, email address, mobile number, CGPA, skills, and his/her experience in the industry.

Technologies Used

  1. React to design frontend
  2. Python Flask to design backend and server
  3. Regex (re library) and nlpt to detect various details of candidate from resume
  4. Firebase to maintain database of recruiters and candidates

Data Flow

Data Model

The App

Candidate Side

Recruiter Side

How to run web app

First run backend :

  1. Open terminal in project folder.
  2. Run app.py.

Now run your Frontend :

  1. Open Terminal in client folder.
  2. Run npm start in terminal.

Contributors

  1. Prajjwal Kumar
  2. Piyush Shandilya

About

Resume Parser is a Web Application that will act as a bridge between the recruiters and candidates. We are trying to provide an application where a candidate can easily search for relevant job postings and where a recruiter can easily search the suitable candidates for the job, based on their skills and profiles.

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