ihebakermi10/job_matching

Title: AI-Powered Job Matching System for Startup Envast

Description:

We are excited to present an innovative project at startup Envast, focused on revolutionizing job matching using advanced Natural Language Processing (NLP) techniques and the K-Nearest Neighbors (KNN) algorithm. Our project is designed to streamline the job search process by leveraging cutting-edge technologies to accurately pair job seekers with their ideal employment opportunities. Here's an overview of the two primary tasks we're addressing:

*Task 1: Data Scraping and Preprocessing*

Our first objective involves collecting job listings from popular professional platforms like LinkedIn and Indeed. To achieve this, we employ Selenium, a powerful web automation tool, to systematically scrape job data, including job titles, descriptions, and requirements. This raw data is then processed and cleaned to eliminate noise and ensure consistency.

Furthermore, our team undertakes data labeling, where we categorize job listings into specific industries and job roles. This labeling process is pivotal for creating a reliable dataset that will be utilized in the subsequent phases of the project. Through meticulous data preprocessing, we lay the foundation for accurate job-to-resume matching.

*Task 2: NLP and KNN-based Job Matching*

The second task delves into the heart of our innovation: utilizing NLP and the K-Nearest Neighbors (KNN) algorithm to predict job matches for individual resumes. Natural Language Processing techniques enable us to analyze the textual content of both job descriptions and resumes, extracting key features that define job requirements and candidate qualifications.

The KNN algorithm comes into play by employing the labeled dataset created earlier. It identifies the nearest neighbors of each resume within the feature space, matching candidates to jobs with similar textual characteristics. This process guarantees that the recommended job matches are not only based on keyword overlap but on deeper semantic understanding.

Our project aims to significantly enhance the efficiency of the job search process, providing job seekers with tailored recommendations that align with their skills and aspirations. By leveraging the power of NLP and KNN, we're able to transcend traditional matching methods and provide a more personalized and accurate approach.

In summary, our AI-Powered Job Matching System for startup Envast is poised to revolutionize how job seekers and employers connect. With data scraping, NLP analysis, and KNN algorithms working in tandem, we're confident that our project will yield remarkable results in matching the right talent with the right opportunities, ultimately fostering career growth and success.