Improved resume generator based on ATS percentage match and missing keywords with personalized summary

Repo to win Deloitte Hackathon 2019

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.

Analyze the resume data to gauge and classify the categories of the resumes of candidates using Python and ML models.

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

AI-powered resume–JD matcher for candidates and recruiters. Candidates get instant match insights, while recruiters can integrate it as an API with platforms like Workday.

Jobora is an AI-powered job recommendation platform featuring semantic resume matching, automated ATS scoring, and live premium job feed syncing. Built with React, Node.js, Python (FastAPI), and PostgreSQL.

AI Smart Resume Analyzer (Final Year Dissertation Project)

This project is all about creating a resume parser which simplfies human efforts using nltk

Automated job finder system which parses the users resume to extract skills and find releveant jobs

A simple tool to parse and extract data from a resume.

A collection of NLP Applications built using FastAPI, HTML, CSS, and Streamlit.

A model to extract relevant info from a resume