A simple resume parser used for extracting information from resumes
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Updated
Sep 13, 2023 - Python
A simple resume parser used for extracting information from resumes
AI Resume Analyser With NLP on Streamlit
This repository uses Text mining and natural language processing algorithms for screening objectively thousands of resumes in a few minutes without bias to identify the best fit for a job opening based on thresholds, specific criteria or scores.
An winning solution for Alegria Hackathon-2021. An Hiring Manager web app which uses pyresparser in python to parse pdf file of Resume/CV's and uses Random Forest Classifier in python to shortlist the cv's.
This Repository contains AI Resume Analyzer that utilizes PDF parsing, database management, SQL-Python integration, and data extraction from PDFs. It offers skill recommendations and suggests videos and lectures for skill enhancement, aiming to enhance resume quality and job prospects.
In this project a user can upload his resume pdf and get to know about his strength and weakness, suggestions for improvement,finding the right domain,searching jobs based on the domain
An app which used to extract the data from the resume. we can upload multiple resumes via upload button and get extracted data directly into excel sheet.
A fully integrated environment for HR activities and performance optimisation
This is a complete web app for Resume and Personality prediction all in one app😁😁. Resume Analysis uses Pyresparer and other libs, Personality depends on ocean(5types) using Kmeans model.🙏
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