Backend for globalcv; written in Go.
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Updated
Mar 17, 2020 - Go
Backend for globalcv; written in Go.
A simple resume parser web app that scores resumes based on keyword matches.
A python library powered by an LLM that can rank resumes or job descriptions
Extract the data from resume using djnago rest api
A NLP Text Analyzer Framework for building resume parsers and analyzers
2020 Computer Science HL IA・An application that parses multiple different types of resumes and puts the data, in a sorted fashion, on a database. Name based on the "Death Note" character. (http://bit.ly/l-dn)
This is a python based program that filter the potential resumes/CVs by filtering them based on the amount of mutiple given keywords they have, using OCR tesseract.
This can read pdf and put your resume data into web
MicroService_2 (resume_parser) for Project1 with Chatgpt_model API
Business objective- The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention
This is a python based program that filter the potential resumes/CVs by filtering them based on the amount of mutiple given keywords they have, using OCR tesseract.
The world most advanced resume parser
CLI tools for Barn.
A Web UI to display Japanese-style software engineering resume files managed in YAML/JSON format.
Resume important feature extraction from pdf or docx format using NLP
The purpose of this project is to use the power of Natural Language Processing to parse information from a resume pdf files
Describe a resume and classify the domains & skillsets
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