This site uses Lever's resume parsing API to parse resumes
-
Updated
Nov 24, 2022 - JavaScript
This site uses Lever's resume parsing API to parse resumes
The official C# SDK for the Textkernel Tx v10 API. Includes a resume parser (CV parser), job parser, resume search engine, and resume matching engine.
The official Java SDK for the Textkernel Tx v10 API. Includes a resume parser (CV parser), job parser, resume search engine, and resume matching engine.
Backend flask server for the resume parser hosted on my website
A simple tool to parse and extract data from a resume.
The project focuses on extracting and structuring key details from resumes, such as names, contact information, education, and work experience, into a user-friendly interface for efficient review and management.
Resume Analyzer is a Flask and ML web application with Resume Analyze, Match, and Builder features. It scores and suggests resume improvements, matches resumes to job descriptions, and helps users create professional, structured resumes easily.
🔒 Proprietary AI Recruitment Suite by Shakeel Qureshi | Automates: sourcing → engagement → screening → retention using LLM/NLP (spaCy, custom models) | TalentSync™, EngageIQ™, FitScore™, TalentRisk™ | Contact: [email protected]
AI-powered hiring platform for fair, efficient, and transparent recruitment using resume parsing, video integrity, and emotion analytics
🎯 CareerPredict is your smart career assistant! Just upload your 📄 resume — it auto-fills forms, analyzes your ATS score 🤖, matches you with job descriptions 💼, and gives real-time placement insights 📊 — all in an interactive and engaging way! 🚀✨
AI‑powered HRMS — Resume screening, candidate matching, L&D & conversational AI
CV parsing & search system
Careers is a Laravel package designed for managing job postings and applicant tracking with an integrated ATS (Applicant Tracking System).
Resume parsing and job Recommendation System with interactive chatbot
Minimal RAG + automation portfolio: CLI, Gradio demos, Docker, CI — no external APIs
Amazon Bedrock Data Automation usecases
A document containing a job description and a list of skillsets of the potential file is uploaded. Using the parsing method, using PharseMatcher from spacy library we identify potential skills from the job description.
Add a description, image, and links to the resume-parsing topic page so that developers can more easily learn about it.
To associate your repository with the resume-parsing topic, visit your repo's landing page and select "manage topics."