About project

Category: NLP | Text Analytics | HR Tech

Status: Completed (Mini Project)

Tech Stack: Python, Regex, Pandas (optional), Jupyter Notebook

Input: Plain text resume

Output: Extracted keywords for shortlisting support

GitHub Link: https://github.com/Nishigandha-Wankhade/Automated-Resume-Keyword-Extractor-1/tree/main

Project Overview

Built a lightweight NLP-based tool that extracts important keywords from resume text to support faster candidate shortlisting. The project demonstrates how simple text processing can convert unstructured resume content into structured keyword signals useful for recruiters and HR screening.

Problem Statement

Recruiters often receive large volumes of resumes. Manually scanning them is time-consuming and inconsistent.

This project aims to automate the first screening step by identifying key terms such as:

• Skills
• Tools and technologies
• Job-related keywords
• Relevant domains

Architecture