Repo to win Deloitte Hackathon 2019
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Updated
Apr 8, 2019 - Jupyter Notebook
Repo to win Deloitte Hackathon 2019
A collection of NLP Applications built using FastAPI, HTML, CSS, and Streamlit.
A simple tool to parse and extract data from a resume.
A model to extract relevant info from a resume
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.
Documentation on the Headstarter Discord Bot
Analyze the resume data to gauge and classify the categories of the resumes of candidates using Python and ML models.
This project is all about creating a resume parser which simplfies human efforts using nltk
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.
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