Resume Parsing & Shortlisting Web App

This is an end to end machine learning project served on Flask for parsing and ranking candidates based on similarity scores between resumes and job description.

A Resume Parser helps organizations eliminate the error-prone and time-consuming process and improves recruiters' efficiency. In fact, for recruiters it is a challenging task to handle thousands of resumes manually.

Features

• Lightweight simple web app
• Handle multiples documents types (pdf, doc, docx)
• Extract relevant informations (candidate's name, email id, phone number, skills)
• Rank candidates based on similarity scores between resumes and job description.

Run Locally

Clone the project

  git clone https://link-to-project

Go to the project directory

  cd Parser-Shortlisting-Project

Install dependencies

  pip install -r requirements.txt

Start the web app

 python -m flask run

Screenshots

Extracted informations