ResumeRanker is an AI-powered recruitment platform that automatically analyzes and ranks resumes, helping recruiters shortlist candidates efficiently while enabling job seekers to apply for relevant roles through a unified portal.

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AI-Based Resume Ranking System

AI-powered resume optimization tool. Analyzes resumes and provides personalized feedback on content, formatting, and keyword optimization. Built with React, Flask, and Firebase.

Streamlit app that ranks internship candidates from uploaded PDF resumes against a job description. It validates and deduplicates files, extracts text, preprocesses NLP features, generates embeddings, and computes weighted scores . Provides filters, metrics, interactive Plotly charts, detailed tables, CSV export, and cached performance insights.

ResumeRanker – AI Resume Matching Tool

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Streamlit web app that ranks resumes against a job description using NLP techniques. It analyzes skill matches and gaps, generates AI-based feedback, and provides an interactive interface with CSV export, visual insights, and local database support for efficient resume screening.

Built an end‑to‑end AI‑powered resume screening system that extracts text from PDF/DOCX files, generates semantic embeddings, and ranks candidates by job‑fit using a local vector store and LLM‑based relevance re‑ranking — improving candidate filtering speed and match quality.

Semantic resume–job description matching system built with Sentence-BERT + rule-based features, deployed as a FastAPI + FAISS service that returns ranked candidates with explainable scores.

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ATS-style tool to rank, rate, and improve resumes with feedback and job-match scoring.

Software that ranks given resume based on user job description , key words , plagiarism , grammar and provides a score and a summary for interviewer convenience

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"AI-powered resume screening agent that analyzes resumes, matches them with job descriptions, and ranks candidates using NLP and machine learning."

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This AI tool that can rank your resume according to job description

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An LLM-powered application that ranks resumes based on a given job description.

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ResumeRanker AI ranks resumes against job descriptions using Sentence-BERT embeddings, keyword/skill overlap, and rule-based scoring. Features FAISS for fast retrieval, a FastAPI service, and Docker support, enabling efficient and explainable HRTech/NLP workflows for candidate ranking.

Resumeranker backend leverages generative AI for automated resume generation. This GitHub project streamlines the process of creating professional resumes through advanced text generation techniques

ResumeRanker-NLP is an AI-driven resume screening tool that ranks resumes based on their similarity to a given job description using Natural Language Processing (NLP). It automates the hiring process by extracting text from resumes and matching them against job criteria.

ResumeRanker is a smart resume analyzer that uses AI to give feedback and job match scores. Built with TypeScript and LangChain, it extracts skills, scores resumes against tech job descriptions, and provides actionable suggestions for improvement. Perfect tool for developers and job seekers.