Hire Smart: Artificial Intelligence- based Resume Parser
Author(s)
Abstract
The AI-Powered Resume Parser is a web-based application designed to automate the extraction of relevant information from resumes using Natural Language Processing (NLP) and Machine Learning techniques. In traditional recruitment processes, manually screening resumes is time-consuming and inefficient. This system aims to simplify and accelerate the hiring process by automatically analysing resumes and converting unstructured data into structured formats. The application allows users to upload resumes in various formats such as PDF and DOCX. The system then processes the document, extracts key details including candidate name, contact information, skills, education, and work experience, and presents the output in a structured format like JSON or database entries. By leveraging NLP libraries, the parser improves accuracy in identifying important entities and reduces human effort. Additionally, the system can be extended to include features such as skill matching, job recommendation, and candidate ranking, making it highly useful for recruiters and organizations. This project demonstrates the integration of full stack development with AI techniques.
Keywords