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Type: Organization
Type: Organization
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.
Docker and Kubernetes: The Complete Guide (Udemy Course)
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Scrapper and Parser for Indeed Jobs and Resumes using Python, BeautifulSoup and Selenium/Requests and storing and manipulating data using mongodb
Job Matching through Unsupervised Feature Learning
LMS
NVIDIA AR SDK - API headers and sample applications
AI-based job search in Python
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
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.