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Revelio Labs crafts workforce analytics, spotlighting the need to decode diverse resume formats. Their "ResumeRevealer" tool classifies information, standardizes job roles, and extracts skills for comprehensive candidate profiles.

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genmen-revelio-labs-resumerevealer's Introduction

Company Name : Revelio Labs

ResumeRevealer Track: Advanced Resume Parsing Challenge

Team : GenMen

Team members : Uday Patel, Urvish Patel, Naitik Prajapati, Prit Patel, Kevin Prajapati

Files :

  • genmen-revelio-labs-resumerevealer.ipynb
  • This is final notebook which includes fine tunned spacy model along with O*NET LSTM model

    Dependencies :

    Spacy fine tunned model : https://www.kaggle.com/datasets/uday2902/resume-parser

    You need to import this model to classify different sections from resume.


  • Spacy_Fine_Tunning_Model.ipynb

  • Final-Onet-Model.ipynb
  • This notebook contains LSTM model to predict Job Title based on skills extracted from classified sections (this model is already included in genmen-revelio-labs-resumerevealer.ipynb notebook)


You will require our fine tunned model to run code which is available on our kaggle account here is the link for the same

Kaggle Profile : https://www.kaggle.com/uday2902

Necessary instructions are included into file : genmen-revelio-labs-resumerevealer.ipynb

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