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backendinfolayers

bidirectional-job-resume-recommender-system

A must have tool for job seekers and recruiters. This project is intended to find and recommend the best fit. Job seekers can find best matching jobs to their resume and Recruiters find the best fit resumes for any job posting. Its based on Machine learning "NLP" concepts of text content match via Doc2Vec and similarity scores.

businesstools

docker-and-kubernetes

Docker and Kubernetes: The Complete Guide (Udemy Course)

easyappointments

:date: Easy!Appointments - Open Source Appointment Scheduler

frontendinfolayers

indeed_scrapper

Scrapper and Parser for Indeed Jobs and Resumes using Python, BeautifulSoup and Selenium/Requests and storing and manipulating data using mongodb

job-matcher

Job Matching through Unsupervised Feature Learning

laravel-udemy-clone

LMS

maxine-ar-sdk

NVIDIA AR SDK - API headers and sample applications

python-jobsearch

AI-based job search in Python

resume-job-description-matching

The purpose of this project was to defeat the current Application Tracking System used by most of the organization to filter out resumes. In order to achieve this goal I had to come up with a universal score which can help the applicant understand the current status of the match. The following steps were undertaken for this project 1) Job Descript

resume-match

Web app to match resume to job type, using nlp svm classifier model. Data via webscraping. Uploaded resume converted from PDF to text using OCR.