ATS Resume Analyser is a Python-based application designed to analyze and rank resumes based on their relevance to a job description. This tool leverages Natural Language Processing (NLP) to extract and compare keywords from resumes and job descriptions, providing a comprehensive score that aids in the recruitment process.

Features:

Extracts text from PDF resumes Identifies and extracts keywords from resumes and job descriptions Compares resume keywords with job description keywords Provides a detailed scoring system based on keyword match, experience, skills, education, structure, and language Technologies Used:

Python Streamlit for the web interface spaCy for Natural Language Processing PyMuPDF (fitz) for PDF text extraction Setup and Installation:

Clone the repository:

bash Copy code git clone https://github.com/yourusername/ats-resume-analyser.git cd ats-resume-analyser Create a virtual environment and activate it:

bash Copy code python -m venv venv source venv/bin/activate # On Windows, use venv\Scripts\activate Install the required dependencies:

bash Copy code pip install -r requirements.txt Download the spaCy model:

bash Copy code python -m spacy download en_core_web_sm Usage:

Run the Streamlit application:

bash Copy code streamlit run app.py Open your web browser and navigate to http://localhost:8501

Upload your resume (PDF format) and paste the job description in the provided text area.

Click the "Analyze" button to get the analysis and scores.