SKILLSPAN: Competences as Spans for Skill Extraction from Job Postings

No description available

This Repository contains AI Resume Analyzer that utilizes PDF parsing, database management, SQL-Python integration, and data extraction from PDFs. It offers skill recommendations and suggests videos and lectures for skill enhancement, aiming to enhance resume quality and job prospects.

Partial code for "Skill Extraction from Job Postings using Weak Supervision" at RecSysHR 2022.

Automatic collection of posted LinkedIn jobs appearing in a specific search, and extraction of the required skills based on all the job descriptions.

No description available

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

AI-powered career assistant with XGBoost ML model (78.14% accuracy) trained on 6K+ resume-job pairs. Features advanced NLP skill extraction, GPT-4 resume enhancement, and intelligent job matching with real-time predictions.

White House Job JAM focus project for skill set analysis, providing an API for skill set extraction for job match

No description available

📄 AI-powered resume analyzer with NLP skill extraction, ATS scoring, AI content detection & job matching using TF-IDF

End-to-end job market analysis using real LinkedIn job postings scraped via Python. Includes web scraping, skill extraction, EDA, Excel-based validation, and a Canva-designed dashboard showcasing hiring trends, in-demand skills, and location-wise insights.

Free, open-source Chrome extension that analyzes job postings against your resume using AI — match scores, skill gap analysis, salary/location extraction, auto-fill, and applied jobs tracking.

Keyword extraction from job descriptions to get better insights about the key skills using TF-IDF

Job Recommendation System - AI-powered platform matching candidates with ideal jobs using NLP and ML. Features automated job classification, skill extraction, and personalized recommendations via FastAPI. Built with Python, scikit-learn, and MLflow. Perfect for HR and career services.

Dataset of synthetic job ad sentences tagged with ESCO skills. From the paper Extreme Multi-Label Skill Extraction Training using Large Language Models.

"Job Recommendation System with Streamlit: Upload CVs, extract skills, and get job recommendations using TF-IDF and Jooble API. Recruiters can paste job descriptions to find the best-matched CVs with similarity scoring. Features PDF parsing,NLP for skill extraction, real-time job fetch, and downloadable reports.

Job Recommendation System using Streamlit: Upload CVs, extract skills, and receive personalized job recommendations using TF-IDF and real-time job APIs like Jooble. For recruiters, paste job descriptions to find the best-matched CVs with similarity scoring. Features PDF parsing, skill extraction, and downloadable reports.

AI-powered job information extraction platform with Angular frontend, Spring Boot backend, and Python ML service. Automatically extracts skills, contract types, and job details from PDFs and text using advanced NLP models.

Natural Language Processing Project: Help in extracting data science job skills needed in the current market. Leverage web scraping for data gathering and Named Entity Recognizer for skill extraction.

AI Job Recommendation System An AI-powered system that helps job seekers find relevant job opportunities by analyzing their resume, skills, and experience. The system uses NLP and machine learning to match candidates with suitable job postings and provides personalized recommendations. Features: Resume parsing and profile extraction Job search

This repository introduces a multi stage pipeline for skill extraction. The pipeline includes a curriculum bi-encoder, trained to retrieve relevant skill candidates for job description sentences. Then in Stage 2 a cross-encoder model is trained with a binary ranking objective, to determine which of the retrieved candidates are true.

Tools/Tech Stack: Python, Flask, Gemini AI API, HTML/CSS, JavaScript, Git, RESTful APIs, PythonAnywhere • ML/NLP Techniques: Resume parsing, keyword extraction, career clustering using embeddings • Problem Solved: Helped students and job seekers receive personalized career roadmaps and skill recommendations by analyzing their resumes & preferences

Built an end-to-end ML-powered resume classifier to match candidates with optimal job roles. Engineered an ensemble model (Random Forest, Gradient Boosting, SVM, Logistic Regression) and applied TF-IDF with n-gram analysis and skill weighting for precise feature extraction and technical competency mapping.

Job Recommendation System using Dynamic Weightage for implicit skill extraction

Job skills extraction from Job Description

Build a prototype skills extraction system to extract Jobs skills from job descriptions and resumes.

AI-powered tool that matches resumes with job descriptions based on skills, experience, and email extraction.

Intelligent job matching platform with automated CV processing, NLP-based skills extraction, and real-time recommendation engine processing 500+ jobs daily.

AI Job Agent that performs resume parsing, skill extraction, job recommendation, resume-job matching, resume improvement, and automated job application using Python, FastAPI, NLP, and Streamlit.