In the ongoing development of LearnHub, a key area of focus is establishing a robust and maintainable authentication system. A critical step in achieving this involves implementing core User and Token entities, meticulously designed with a clean architecture approach that leverages ports and interfaces.

Introduction

The smart-job-matcher project aims to connect job seekers with relevant opportunities more efficiently. The focus has been on improving the backend architecture to handle increasing data loads and provide more accurate matching results.

The Goal

The primary goal is to establish a robust and scalable backend system. This involves setting up the foundational elements for data

Introduction

Imagine building a job platform where the perfect candidate meets the ideal job. The smart-job-matcher project aims to achieve just that. This post dives into recent enhancements focused on integrating job offer data and providing intelligent skill recommendations to streamline the matching process.

Integrating Job Offers

A key update involves bolstering the MatchService

Introduction

The smart-job-matcher project aims to streamline the job application process by intelligently matching candidates with suitable job opportunities. A recent enhancement focuses on improving the analysis of PDF documents submitted by candidates and ensuring data integrity through validation.

The Challenge

The existing system lacked robust PDF analysis capabilities, resulting

Introduction

The smart-job-matcher project aims to intelligently connect job seekers with relevant opportunities. Recent efforts have focused on implementing a system for analyzing and matching candidates based on their CV data.

The Feature: CV Analysis and Matching

This feature introduces a new component responsible for extracting information from CVs and using that information to