resume-matcher

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• Jupyter Notebook

JobSensei is an AI-powered toolset designed to simplify your job application process. It consists of two main components: Resume Matcher: A Python-based CLI tool that scores your resume against job descriptions with deep analytical feedback and JobSensei Extension: A Chrome extension that uses AI to automatically fill out job application forms

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• TypeScript

CV Embed is an AI resume analyzer that matches candidates with job descriptions using SBERT/GloVe/Doc2Vec models. Calculates compatibility scores, suggests top job matches, and generates real opportunities. Supports PDF/DOCX uploads with Flask backend and Gemini AI integration.

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• Python

Free, open-source Chrome extension that analyzes job postings against your resume using AI — match scores, skill gap analysis, salary/location extraction, auto-fill, and applied jobs tracking.

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• JavaScript

A web based Job Portal for Candidates and employers with resume ranking capabilities

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• JavaScript

💻 An intelligent AI-powered Resume Matcher built with NLP to extract and analyze data from resume PDFs and job descriptions. Compares skills and keywords to calculate a similarity score, identify common keywords, and help match candidates with the most relevant job opportunities. 🚀

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• Java

AI-powered resume matcher & candidate sync tool using NLP, keyword extraction & vector similarity search with Qdrant. Built with FastAPI, Next.js & Python.

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• Python

AI Resume Matcher is an intelligent, local-first resume screening system powered by the Mistral 7B Instruct LLM. It takes a job description and multiple PDF resumes, compares each candidate’s experience, skills, and background, and generates a match percentage with a detailed reasoning report — all saved as Word documents.

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• Python

This project aims to make the process of matching resumes with a particular job description much faster. Simply enter the required job-description and all the resumes that need to be filtered and run the script to find the top scorer as well as the 'n' best matching resumes! Built using Python, Hugging Face and Scikit-Learn.

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• Python

A Flask web app that ranks resumes against a job description using TF-IDF & cosine similarity helping recruiters shortlist candidates faster.

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• CSS

Recruiter Lite is an AI-powered tool that matches resumes with job descriptions. Using the Gemini Pro API for NLP, it calculates a match score, highlights candidate strengths, and identifies gaps. Built with Streamlit, it offers a simple interface for quick and easy candidate evaluation.

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This AI-powered extension helps you analyze job descriptions on LinkedIn to determine your compatibility based on your resume.

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• CSS

flask-based web app that scores resumes against job descriptions using semantic similarity and keyword matching

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• Python

AI-powered Telegram bot that compares resumes to job descriptions using Gemini Flash. Built with n8n. Delivers match scores, improvement tips, and rewritten bullets instantly.

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📄 Smart resume-to-JD matcher with keyword analysis, match heatmaps, and tailored project suggestions.

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• Python

AI-powered Resume ↔ Job Description Matcher using NLP (TF-IDF & Cosine Similarity) to analyze skill match and identify missing keywords.

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• Python

A simple AI-powered app to match resumes with job descriptions using NLP and Python.

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AI-powered Resume Matcher and Skill Recommendation System using NLP, FastAPI, and React.

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• JavaScript

This LangGraph-based agentic system matches job descriptions to the most relevant resumes by automating JD rephrasing, retrieval, ranking, explanation, and evaluation.

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• Python

ATS-style Resume Matcher that compares resumes with job descriptions using NLP techniques to generate match scores, similarity metrics, and keyword gap analysis.

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• Python