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.

JobFitPro: AI Resume Analyzer 🚀 Match resumes to job descriptions, identify skill gaps, and get actionable improvements. Features PDF/TXT parsing, custom JD scoring, interview Q&A generation, and ATS optimization. Powered by Groq (LLaMA-3) & LangChain.

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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.

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

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.

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.

Al-Powered Resume Relevance Check System | Advanced placement management platform with semantic resume parsing, LLM-powered job matching, and comprehensive Indian location coverage | Built with Python, FastAPI, React, TensorFlow, LangChain | 98% accuracy, 45K+ resumes processed

The AI CV Parser is an intelligent automation tool that utilizes Large Language Models (LLMs) to extract structured information from unstructured resumes. By combining Mistral-Nemo with LangChain's structured output parsing and Streamlit.

AI Career Twin Agent that autonomously represents you to employers. Built with Claude, LangGraph, and LangChain. Includes resume parsing, LinkedIn profile generation, and personalized agentic workflows.

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

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Resume parser built using LangChain and Streamlit

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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.

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

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A simple demo system that automatically extracts details such as **name, email, phone number, and skills** from resumes or text messages received via WhatsApp or API.

A Streamlit-based web application that analyzes resumes against job descriptions using LangChain, local LLMs (via Ollama), and PDF/TXT parsing. It extracts key skills, computes a match score, generates a personalized cover letter, and suggests potential interview questions.

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

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AI Resume Parser built with Streamlit , LangChain and Gemini AI

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