Sajid030 / resume-parser

Simplify talent acquisition processes by incorporating a sophisticated resume parser for intelligent extraction and organization of resume data.

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Resume Parser Project

Welcome to the Resume Parser project! This repository contains code and resources for building an AI-powered resume parser. The goal of this project is to automatically extract relevant information from resumes or CVs, such as contact details, work experience, education, skills, and other relevant sections, and convert it into a structured format.

Dataset Overview

The dataset used in this project consists of resumes or CVs in a structured format. Each resume contains various sections, such as personal details, work experience, education, and skills. The dataset has been preprocessed for analysis and model training.

Requirements

To run the code and utilize the resources in this repository, you'll need the following:

  • Python 3.x
  • Jupyter Notebook
  • Required Python packages pip install numpy pandas plotly nltk wordcloud scikit-learn
  • Resume dataset (provided or replace with your own)

Please ensure you have the necessary dependencies installed before running the code.

Acknowledgments

This project is part of the Topperworld Virtual Internship Program August Batch 2023. Special thanks to the program organizers for providing this opportunity to enhance my skills.

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Simplify talent acquisition processes by incorporating a sophisticated resume parser for intelligent extraction and organization of resume data.


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