Skip to content

tarini3301/AiPoweredResumeRanker

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 

Repository files navigation

AI-Powered Resume Ranker

An AI-powered web application that ranks resumes for a specific job profile using Natural Language Processing (NLP) techniques.

Objective

Automate the resume screening process by ranking resumes based on their relevance to the job description using NLP, TF-IDF, and cosine similarity.

Features

  • Upload multiple PDF resumes
  • Upload a job description
  • Extract and preprocess text using SpaCy
  • Vectorize text using TF-IDF
  • Compute similarity scores between resumes and the job description
  • Rank candidates based on relevance
  • Download a ranked report as CSV for HR

Tech Stack

  • Frontend: HTML, CSS, Bootstrap (via Flask templates)
  • Backend: Python, Flask
  • NLP: SpaCy
  • Machine Learning: Scikit-learn (TF-IDF Vectorizer)
  • File Handling: pdfminer, PyPDF2 or similar

Installation

Prerequisites:

  • Python 3.7+
  • pip

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors