📄ATS_useing_SentenceTransformer

This project compares the content of a candidate's resume PDF with a job description using NLP. It uses the SentenceTransformer model to calculate cosine similarity and visualizes the match score with a gauge-style chart.

🚀 Overview

This tool automates resume screening by calculating how well a resume aligns with a job description. It’s particularly useful for recruiters and HR professionals looking for a quick, visual evaluation of candidate-job fitment.

✨ Features

• Extracts text from PDF resumes using PyMuPDF
• Computes similarity score with job descriptions using Sentence Transformers
• Uses cosine similarity for comparison
• Visualizes the result with an intuitive gauge using matplotlib

🛠 Installation

Make sure you have Python 3.7 or above installed. Then, install the required libraries:

pip install matplotlib sentence-transformers PyMuPDF scikit-learn