This Python script scrapes up to 100 most recent Linkedin job postings of any job title and creates sentiment visualization in a form of a word cloud.

Detect fake job posting with deep learning

Optimize resume for job applications

Repository including data cleaning of job postings from Indeed, as well as the final result

A project aiming to leverage text embeddings and Milvus, a high-performance vector search engine, to detect duplicate job postings.

💼 Sharable image summaries for your open positions: Share your jobs as an image on LinkedIn and Instagram to get a visibility boost and more applicants!

Visitors can view listings, examine them and make detailed searches within the listings. Registered users can edit, delete or post new job postings. This web application based on Laravel & PHP.

Analysing Online Job Posting

This repository contains the source code for the getHired job portal, a modern web application built with React for the frontend, Spring Boot for the backend, and MongoDB for the database. The platform offers features for posting, searching, and applying for jobs, making it easy for both employers and job seekers to connect.

Using SPSS modeler, I will elaborate different models that will give us insights on different aspects of the online job posting in Armenia between 2004-2015.

Structured data examples for Job Posting Schema

👨‍💻Jobbble Backend Engine - University Project

Crawling Dice.com

A tutorial for collecting job postings from Indeed using Python and Oxylabs Web Scraper API.

Backend dedicated to serve as an API of scrapped Jobs Offers

Jobbble Mobile Application - University Project

The Job Application System is a RESTful API built with Python and Flask, designed to streamline the process of managing job applications. This system incorporates essential features, including user authentication, job posting, and the retrieval of job applications.