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AI-powered resume parser using Flask, OpenAI, and Ollama.

This resume parser is designed to be user-friendly, fast, and accurate with openAI.

This repository is packed with practical, beginner-friendly codelabs that bring AI and coding concepts to life. From extracting job applicant details with OpenAI’s Function Calling (think resume parsing into JSON) to automating real-world tasks, you’ll find working code, sample datasets, and step-by-step guides here.

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.

AI-powered Resume Analyzer and Builder with scoring, suggestions, and ATS optimization. Built using Flask, OpenAI, and Resume Parsing tools for smarter job applications.

Automates job description parsing and resume tailoring using n8n workflows, OpenAI, and Notion/Google Docs integrations. Designed to streamline job applications with custom CV rewriting and analysis tools.

resume-analyzer ai-resume feedback skill-gap job-recommendation nlp machine-learning python flask openai career-tools resume-parser job-matching talent-assessment developer-tools

An AI-powered Applicant Tracking System (ATS) that parses resumes and ranks candidates based on job descriptions using OpenAI GPT-4o and Vector Embeddings

VisScan is a FastAPI-based resume analysis and job matching API that leverages OCR, face detection, OpenAI's language model, and semantic similarity techniques to intelligently parse resumes and job descriptions, then score relevance between them.

AI-powered hiring engine that parses resumes, extracts structured candidate intelligence with LLMs, and evaluates job fit against a job description. Built with Python, Streamlit, and OpenAI.

An AI-powered Resume Evaluation Agent built on the n8n automation platform to streamline candidate screening. This tool parses resumes, matches them against job descriptions using AI (e.g., OpenAI), scores candidates, and automates communication — helping recruiters make faster, data-driven hiring decisions.

AssessAI is a cutting-edge platform designed to streamline and automate the technical interview process for recruiters and companies. Using OpenAI’s Large Language Model (LLM), Flask, React, MongoDB, and Twilio, AssessAI parses candidate resumes, generates tailored interview questions, conducts video interviews, and produces a comprehensive report

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Resume_parser_using_openAI(opensource) -Here I am extracting resume uisng OpenAI LLM model

A resume Parser Agent that gives insights about resumes built using Openai Agents SDK

The solution automates the parsing of resumes, extracting key information and optimizing content for compatibility with ATS software.

AI Hiring Tool using React, Flask, OpenAI, and Pinecone. Recruiters input a job description, and the app parses it, scores candidate resumes or LinkedIn profiles, and generates tailored interview questions—showcasing AI integration, product intuition, and modern recruiting automation.

The Resume Analyzer project is a Python-based application designed to automate the process of parsing resumes, extracting relevant details, and ranking them based on job descriptions. It leverages cutting-edge technologies such as OpenAI's GPT models, LangGraph and Azure's AI Document Intelligence to process and understand resumes efficiently.

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

Resume-Parser-OpenAI-main is a Python-based application designed to automatically extract key information from resumes using AI and natural language processing (NLP). It leverages OpenAI models and tools like SpaCy and NLTK to parse uploaded resumes (PDF or DOCX) and retrieve structured data such as:

Portura Lite is a minimal, full-stack AI-powered resume parser and assistant. Users can upload a PDF or DOCX resume, have it parsed using OpenAI, and chat with an AI assistant about their experience. Built with React, Tailwind CSS, Next.js, MongoDB, and OpenAI.

A cloud-native, fully automated resume parsing pipeline built on Microsoft Azure — featuring Docker, N8N, OpenAI, Flask, Supabase, and Jenkins CI/CD.

AI-powered resume builder that parses resumes, optimizes for job roles, calculates ATS score, and exports professional PDFs. Built with React, Node.js, Prisma, Supabase, OpenAI, Razorpay, and Google OAuth.

Agentic AI Resume Assistant parses resumes, scores job fit, simulates interviews, and gives tailored feedback using OpenAI GPT-4o. Modular agents handle parsing, matching, questioning, and improvement. Built with Gradio and Pydantic, it streamlines career prep for job seekers and recruiters.

This project parses resume content into a structured JSON format using ChatGPT, facilitating easy data extraction and analysis. It leverages the capabilities of OpenAI's GPT-4 to streamline resume processing tasks.

AI-powered CV parser and ranking system built with Azure OpenAI. Automatically extracts candidate information from PDF resumes and scores them based on job requirements. Final hackathon project for Azure AI Summer School.

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

AI-powered job board where recruiters post roles and candidates are automatically matched using resume parsing and embeddings. Built with MERN, OpenAI, JWT auth, and real-time updates.