NLP-powered, GPT-3 enabled Resume Parser from PDF to JSON.

This tool aims to simplify the process of reviewing job applicants' resumes, extracting relevant data, and making data-driven decisions in recruitment using NLP.

I built a job recommender for people 0-3 years out of college in non-technical roles. This recommender uses NLP and ML to parse your resume and return which job archetype you fit best into.

Code to parse information such as Name, Email, Phone Number, Skill sets and Qualification from a given resume.

Build a Resume Parser in Python using Spacy

**AI-Powered Job Portal**: A MERN stack app where users upload resumes, parsed by NLP to extract skills and experience, enabling AI-driven job recommendations. Job seekers can search, apply, and track applications, while recruiters post jobs and view ranked candidates. Features include JWT auth, intelligent search, and optional AI career tools.

Artificial Intelligence has recently been used to automate resume parsing which deciphers various resumes using an NLP (Natural Language Processing) engine. It is important for recruiters as it may locate excellent candidates with a perfect match in qualifications, talents, and experience in a similar industry.

The purpose of this project is to use the power of Natural Language Processing to parse information from a resume pdf files

A machine learning and NLP Implementation in parsing and classifying resumes.

Resume Parser and Summariser using spaCy (NLP)

AI-Powered Resume Parser with OCR, NLP, and AI Enhancement

ResumifyNG is an AI-powered resume and interview coaching platform built with FastAPI and React. It features intelligent resume parsing, ATS analysis, real-time AI-driven interview simulations, and voice interaction. With NLP, ML, and seamless UI animations, it optimizes resumes and prepares users for technical interviews.

Resume Parser with SpaCy NLP and Streamlit seamlessly extracts and analyzes key information from resumes, enhancing the efficiency of candidate screening and recruitment processes.

Automated Resume Screening application using NLP and ML to parse and evaluate resumes according to best fit to job description

Lightweight JavaFX NLP tool for resume parsing and job matching using TF-IDF, cosine similarity, and structured skills–experience–education extraction

leverages Hugging Face’s NLP models to build an intelligent ATS resume scorer and ranking tool. It parses and analyzes resumes, scoring them based on relevance and alignment with job descriptions, streamlining recruitment, and providing accurate rankings for efficient candidate shortlisting.

The Smart Resume Analyzer is an AI-based tool designed to automate the resume screening process. It parses resumes, extracts key information (skills, experience, education), and compares them to job descriptions using Natural Language Processing (NLP). The system scores and ranks candidates based on job fit and provides feedback for improvement.

The Resume Data Extractor is a tool designed to extract and analyze key information from PDF resumes using advanced Natural Language Processing (NLP) techniques. This application leverages a pre-trained Spacy model to identify and highlight named entities such as names, dates, and skills.

Resume-Score: Streamlit tool for automating resume parsing using NLP models to extract key data.

The project aims to create a Resume Parsing and Hiring Automation System using NLP and machine learning to automate the hiring process. It will parse resumes, extract details, match candidates with job descriptions, and rank profiles to select suitable candidates, ensuring efficiency, accuracy, and bias reduction.

The Intelligent Resume Parsing System, developed in C#, enhances recruitment by integrating advanced NLP and data management.

ParsePro: A React and Node.js app that extracts keywords (skills, experience, education) from uploaded resumes (PDF/DOCX) using NLP, featuring a dark theme, progress bar, and keyword download, built with Material-UI, Axios, Multer, PDF-Parse, Mammoth, and Compromise.

AI-Driven Resume Screening System: An intelligent hiring platform that uses NLP and machine learning to automatically parse, rank, and match candidate resumes with job descriptions, featuring explainable AI rankings, bias detection, and an interactive chatbot for interview preparation.

This project uses Natural Language Processing (NLP) to automate resume parsing and rank candidates based on job relevance. It enables recruiters to efficiently shortlist the best candidates by extracting structured information from resumes and matching them against job descriptions.

SmartRecruit is an AI-driven recruitment platform that automates CV analysis, enhances candidate-job matching, and provides insightful analytics to optimize hiring decisions. Using NLP and machine learning, it supports advanced resume parsing, search, and filtering with Elasticsearch

An NLP-based Resume Parser that extracts key information such as personal details, skills, education, and experience from resumes. Designed to streamline recruitment processes by automating resume analysis.

NLP-based resume parsing tool for extracting relevant info and rank candidates for job applications

USES NLP TECHNIQUES TO PARSE AND READ RESUME'S

Resume Parser built using python,pdfminer and NLP

Name entity recognition utilized for the Resume parser using NLP spacy tool in python