Resume Screening with ML

This project analyzes the resumes of the applicants and matches them with the given job requirements using Machine Learning and Natural Language Processing.

Then, it displays the similarity between the provided job description and the resumes in the form of percentages.

Installation:

1. pip install -r requirements.txt
2. Install Tesseract
3. Update export file path
4. py app.py

Datasets used :

1. https://www.kaggle.com/datasets/aishikai/resume-dataset
2. https://www.kaggle.com/datasets/udacity/armenian-online-job-postings

Installing Tesseract:

1. https://linuxhint.com/install-tesseract-windows/
2. https://towardsdatascience.com/how-to-extract-text-from-images-using-tesseract-ocr-engine-and-python-22934125fdd5