An AI-powered tool that compares resumes with job descriptions to generate fit scores, resume suggestions, and interview questions using OpenAI, LangChain, Resume Parser, and the LinkedIn API.

A Streamlit-based Resume Parser powered by LangChain and Google Gemini 2.5 Flash, capable of extracting structured resume information (Name, Skills, Education, Projects, Experience, etc.) from uploaded PDF, DOCX, or TXT files.

A Python-based resume parser application built with LangChain and Streamlit that extracts structured information from PDF, DOCX, and TXT resume files. The tool uses Google's Gemini AI model to parse resumes and extract key details like personal information, skills, education, experience, and projects into a clean JSON format.

Resume parser using AI, it uses pdfminer, groq, langchain.

using the openai and langchain trying to parse the resume content into useful details by reading the different resume

An AI-powered resume parser and shortlisting system built using Django, React, LangChain and Sentence Transformers. It parses uploaded resumes, compares candidate skills and education against job requirements, and ranks candidates.

Automates resume parsing and screening using AI agents with Python, LangChain, and OpenAI GPT. Extracts and analyzes data from PDFs, supports semantic search, and demonstrates multi-agent protocols

AutoReach is a Streamlit-based web application that automatically generates personalized cold emails for job applications. It combines the power of LangChain, LLMs (OpenAI/Groq), and resume parsing to craft tailored outreach emails using your uploaded resume and a job/company URL.

Resume Parser Using Langchain

A smart resume parser built with LangChain and Google Gemini AI that extracts key information from resumes (PDF, DOCX, TXT) and presents it in structured JSON format. Perfect for HR automation, recruiting tools, or personal projects.

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Resume parser built using LangChain and Streamlit

RAG-based resume parser using LangChain, FAISS, and OpenAI

Developed an AI-based Resume Parser using LangChain to extract candidate details like skills, experience, and education from resumes using LLMs.

Resume Parser using LangChain, hosted on Streamlit. Derived from https://github.com/john-thuo1/chatWithPDF.

Automate resume understanding and information extraction using LangChain, Prompt Templates, and Structured Output Parsers.

An AI-powered Resume Parser built with LangChain.js and Google Gemini API that extracts structured information (like name, skills, and experience) from resumes using Output Parsers. This project demonstrates: ✅ Using LangChain.js with Gemini API ✅ Applying Output Parsers for structured JSON results ✅ Automatic schema-based resume parsing

A Python tool to parse resumes, filter job postings, and get tailored resume suggestions using GPT-5-mini via LangChain.

AI-powered recruitment system using LangChain and LLMs for resume parsing, candidate scoring, and interview automation.

This app uses Streamlit and Google Gemini (via LangChain) to parse resumes and extract structured information using LLMs

A simple AI powered resume parser built using Django, LangChain, and Groq API, with a RESTful backend powered by Django REST Framework

Agentic Resume Screening System using Streamlit, LangGraph, LangChain, OpenAI & Vector Scoring — parses JDs, analyzes resumes, computes similarity, and ranks candidates with detailed scoring.

Streamlit app that parses resumes and documents (PDF, DOCX, TXT) into structured JSON using LangChain and Google Gemini.

Build an automated system that parses, screens, and manages resumes using LangChain, LangGraph, FastAPI, and large language models.

🔍 An LLM-powered tool to parse resumes using OpenAI and LangChain, with both CLI and Streamlit web app support.

This repository features an AI-Powered Resume Analyzer and Cover Letter Generator. It intelligently parses resumes and generates tailored cover letters using Streamlit, pdfplumber and LangChain.

A versatile resume parsing solution that automates information extraction from multiple document formats into structured data using Python, LangChain, and Groq's LLM.

An AI-powered Python tool using LLMs, LangChain and structured output parsers to convert PDF resumes into usable structured data for HR and data workflows.