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.

JobDescription-Keywords-Extractor aims to extract important keywords (topics) from any given job description posted online for better search engine optimization (SEO) using Topic Modeling techniques. It can also be used to build a Resume Screening Tool where any given resume would be matched against the topics extracted from JD_Keywords_Extractor.

AI-powered resume analyzer that compares resumes against job descriptions. Built with React, TypeScript & N8N workflows. Get match scores, keyword suggestions & improvement tips. Upload resume as PDF & paste text of JD for instant analysis.

AI-powered resume–JD matcher for candidates and recruiters. Candidates get instant match insights, while recruiters can integrate it as an API with platforms like Workday.

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.

HireLight ATS– An AI-powered Applicant Tracking System (ATS) resume optimizer that helps job seekers analyze, score, and improve their resumes. Features include dashboard analytics, ATS score trends, skill recommendations, job description (JD) match reports, and an interactive chat-based assistant.🚀 Built with React,Tailwind CSS, Node.js, Firebase

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AI-powered Resume & Job Description Semantic Matcher using NLP, BERT embeddings, cosine similarity scoring, and smart resume parsing. Includes dataset samples, notebooks, modular Python code, and documentation.

NLP-powered resume screening app — parses PDFs, ranks candidates by JD match using TF-IDF + cosine similarity, detects skill gaps, scores resumes. Built with Python + Streamlit + Django.

🎯 AI-powered resume analyzer that gives bullet-point suggestions, JD match score, and rewrites lines. Built with Flask, Groq API (LLaMA 3), PyMuPDF, JS & CSS. Upload resume → Paste JD → Get insights + PDF. Smart, stylish & recruiter-ready. 💼✨

A Résumé Screening System Using Python and Multiprocessing. A system that takes a folder of résumés and a Job Description (JD) as input. The system processes each résumé, extracts relevant information, and calculates a score based on how well the candidate matches the job requirements.

A Streamlit app that scores how well a resume matches a job description

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AI Resume Analyzer — match resume to JD, score & keyword suggestions

this project is to match jd and resume

The 𝐑𝐞𝐬𝐮𝐦𝐞–𝐉𝐨𝐛 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧 𝐌𝐚𝐭𝐜𝐡𝐞𝐫 is an AI-driven system designed to automatically evaluate how well a candidate’s resume aligns with a specific job description. Unlike traditional keyword-based matchers, this system leverages 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏) and 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠

AI-powered Resume Matcher for HR. An intelligent recruitment assistant that analyzes resumes & JD using NLP & ML models to automatically match candidates with the best-fitting roles.

An AI based Resume Screening app that allows to analyze and compare resumes with JD's and gives Match report & Analysis.

resume classifier that analyzes input resumes and provides a similarity score based on a given job description (JD). This classifier will be designed to determine how closely a resume matches the requirements and qualifications specified in the JD.

Generate tailored ATS compliant resume and potential interview questions based on a match between recruiter's JD and your Skills

AI-powered career management CLI — JD-aware resume optimization, keyword-matched bullet ranking, automated job monitoring, and TWC compliance tracking

AI Resume–JD Matcher is a smart web application that analyzes how well a candidate’s resume matches a given job description. It uses NLP techniques like TF-IDF and cosine similarity along with skill extraction to generate a match score, highlight matched and missing skills, and provide improvement feedback.

Resume ATS Analyzer evaluates resumes against job descriptions using AI, identifying key skills, missing keywords, and JD match percentage. Built with Flask, OpenAI/Gemini API, it provides ATS-friendly insights to optimize resumes for better job compatibility. 🚀

Developed an AI-powered Applicant Tracking System (ATS) to analyse and match resumes with job descriptions using Natural Language Processing (NLP) and Semantic Similarity. Utilized TF-IDF Vectorization and Sentence-BERT embeddings to compute resume–JD similarity, achieving a semantic match accuracy of 89%.

AI-powered resume and job-description coach built on Cloudflare Workers AI. Features task modes (JD match, bullet rewrite, STAR stories), session memory via Durable Objects, and a simple chat UI.

Resume Smart ATS is an innovative web application designed. Users simply copy and paste job descriptions from platforms like LinkedIn,Indeed, then upload resumes to the web app. By click on Submit button, Resume Smart ATS analyzes the resumes against the job description, providing users with valuable insights such as JD match perce

Open-source resume tailoring tool built for developers. Bring your own AI API key (Bedrock, Gemini, etc.), paste a JD, and get a keyword-matched, ATS-scored resume PDF with email drafts and LinkedIn DMs — all from a single command or web UI.

JD-Resume Matcher Description