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RESUME PARSER

(NLP PROJECT)

Table of Contents

  1. Introduction
  2. Note
  3. Installation Guide
  4. Video Tutorial
  5. Acknowledgements

Introduction

This project is different from a tradtional Resume Parser.

You give it your resume and the job you're looking for, and it returns all the other skills you'd need to learn to increase the chances of getting your dream job.

(We've used the help of AI to make this project)

Note

  • the file code.ipynb has the main code which we used for the ".exe" file

  • the file main.py is the main file you have to run.

  • the code works if the numpy version is before 2.0.0

Installation guide

  • Clone the Repository
  git clone https://github.com/LazyHusky26/Resume_Parser.git
  • Go to the folder

  • Make sure the following libraries are installed

    • pdfplumber
    • scikit-learn
    pip install pdfplumber scikit-learn
  • Open the terminal and run

(WINDOWS)

  python main.py (or) python3 main.py

(MAC)

  python3 main.py

(LINUX)

  python main.py (or) python3 main.py

Video Tutorial

2024-12-10 17-46-59 2024-12-10 17-50-12

Manually input your skills

2024-12-10 17-51-43

Upload your resume/csv (IN PDF FORM)

2024-12-10 17-52-47

Input additional skills (just incase)

2024-12-10 17-53-32

Acknowledgements

  • Dataset Used
  • Libraries Used - tkinter, csv, re, pdfplumber, sklearn

About

This project goes beyond traditional resume parsers. You upload your resume and specify your target job, and it analyzes the skills you already have versus those typically required for that role. It then highlights the missing skills and tools you should learn to boost your chances of landing your dream job.

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