Repo to win Deloitte Hackathon 2019
A collection of NLP Applications built using FastAPI, HTML, CSS, and Streamlit.
Full-stack hiring platform with bulk resume parsing, explainable candidate-job matching, pipeline tracking & analytics. Node/Express + React + MySQL, Docker & Kubernetes-ready.
A simple tool to parse and extract data from a resume.
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.
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.
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)
AI-powered Resume Analyzer using Flask and Google Gemini that evaluates ATS compatibility, analyzes resumes against job descriptions, identifies missing skills, and provides actionable recommendations through a modern interactive dashboard.
Documentation on the Headstarter Discord Bot
AI-powered resume screening system that ranks resumes using NLP, semantic similarity, and skill-based matching with an interactive Flask dashboard.
Improved resume generator based on ATS percentage match and missing keywords with personalized summary
AI-powered interview preparation platform with resume-based question generation and mock interview evaluation using Streamlit and Google Gemini API.
Analyze the resume data to gauge and classify the categories of the resumes of candidates using Python and ML models.
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.
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
AI-driven resume parser and scoring engine using Llama 3.3 and Pydantic for semantic data extraction, job requirement parsing, and automated applicant ranking.
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