An automated tool that optimizes resumes for Applicant Tracking Systems (ATS). Extracts text from PDFs and DOCX files, analyzes keywords using NLP, scores resumes, and provides actionable suggestions to improve ATS compatibility. Built with PyPDF2, docx2txt, spaCy, nltk, tkinter, and pandas.
This project is licensed under the MIT License. See the LICENSE file for details.
This project uses several third-party libraries. For a complete list and their respective licenses, see the NOTICE file.