A model to extract relevant info from a resume
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Updated
Jan 26, 2024 - Jupyter Notebook
A model to extract relevant info from a resume
A simple tool to parse and extract data from a resume.
A collection of NLP Applications built using FastAPI, HTML, CSS, and Streamlit.
Repo to win Deloitte Hackathon 2019
Analyze the resume data to gauge and classify the categories of the resumes of candidates using Python and ML models.
Documentation on the Headstarter Discord Bot
CV and resume parser using Spacy, extracting key information such as skills, experiences, and education details to streamline data processing for recruitment and HR applications.
PARSEIT is a Resume Parsing web app that can be used by firms to parse the applicant's resume in order to obtain a CSV file containing only the required information.
This project is all about creating a resume parser which simplfies human efforts using nltk
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