AI-Powered Smart Resume Builder — 50+ professional templates, PDF/image parsing, AI optimization, JD match analysis, multi-format export. Open source & free, one-click Docker deployment.

Ai Resume Analyzer is a tool which parses information from a resume using natural language processing and finds the keywords, cluster them onto sectors based on their keywords. And lastly show recommendations, predictions, analytics to the applicant based on keyword matching.

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The invoice, document, and resume parser powered by AI.

Resume Analyser is an AI-powered full-stack application designed to parse resumes, evaluate content quality, and generate a resume score with actionable feedback. The backend is developed using Spring Boot, the frontend is built with React.js, and MySQL is used for secure and efficient data management.

This Repository contains AI Resume Analyzer that utilizes PDF parsing, database management, SQL-Python integration, and data extraction from PDFs. It offers skill recommendations and suggests videos and lectures for skill enhancement, aiming to enhance resume quality and job prospects.

Key features: - Automated AI-driven interviews - Resume analysis and parsing - Real-time video conferencing - Structured evaluation of candidates - Customizable job positions and interview questions

Resume Parsing app to extract information using AI

An AI-powered suite to automate job scraping, resume parsing, job-to-resume scoring, and application tracking, designed to run via GitHub Actions.

A sophisticated web application designed to revolutionize the resume screening process by harnessing the power of multiple state-of-the-art AI models. This application provides comprehensive resume analysis, intelligent scoring, and detailed information extraction capabilities, making it an invaluable tool for HR professionals and recruiters.

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

AI-Powered smart resume builder that customizes resumes to align with specific job descriptions (JDs). Users can upload their professional details (projects, work experience, profiles, etc.), and with each job description, the system leverages AI to parse the requirements and adapt the user's resume content accordingly.

Resume Parser/CV Parser for Laravel with AI-powered SharpAPI

🤖 End-to-End Resume AI Parser

AI-powered assistant for EspoCRM with resume parsing and natural language interface

**AI-Powered Job Portal**: A MERN stack app where users upload resumes, parsed by NLP to extract skills and experience, enabling AI-driven job recommendations. Job seekers can search, apply, and track applications, while recruiters post jobs and view ranked candidates. Features include JWT auth, intelligent search, and optional AI career tools.

Python client for MagicalAPI: resume parsing, resume scoring, LinkedIn profile and company data extraction for hiring and business insights.

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Smart AI career assistant - resume parsing, skill gap analysis, and personalized guidance for students and professionals.

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

Resume Processor is a Python-based application that extracts and processes information from resumes placed inside a GOOGLE DRIVE folder to reduce the hassle 😉. It uses the Gemini API to extract key details and calculate experience scores based on keyword matches. Alternatively, it can also be used to process resumes stored in the machine.

AI-Powered Resume Parser with OCR, NLP, and AI Enhancement

ResumifyNG is an AI-powered resume and interview coaching platform built with FastAPI and React. It features intelligent resume parsing, ATS analysis, real-time AI-driven interview simulations, and voice interaction. With NLP, ML, and seamless UI animations, it optimizes resumes and prepares users for technical interviews.

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.

AI Resume Parser

ResumeParserAI is a Streamlit-based AI application that parses PDF resumes using Google Gemini to extract structured data and generate professional summaries. Docker-ready for easy deployment.

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.

Automated resume screening workflow built using n8n. This project integrates resume parsing, candidate evaluation, and AI-powered scoring to streamline the recruitment pipeline.

A streamlined document processing tool that converts PDF resumes into structured data. This application allows users to upload PDF files, processes them through a PDF parser to extract text content, and utilizes AI models to analyze and transform the information into organized JSON format. Built to simplify resume data extraction and make candidate

The Smart Resume Analyzer is an AI-based tool designed to automate the resume screening process. It parses resumes, extracts key information (skills, experience, education), and compares them to job descriptions using Natural Language Processing (NLP). The system scores and ranks candidates based on job fit and provides feedback for improvement.