AI-powered resume screening and hiring automation system that extracts resumes from AWS S3, classifies candidates based on HR-defined criteria using LLMs, stores results in SQLite, and automatically sends email and WhatsApp notifications. Designed to simulate a real-world recruitment workflow with secure cloud and database integration.

A multi-agent recruitment assistant that leverages Microsoft AutoGen framework to streamline hiring processes. The system employs specialized AI agents working in concert to automate resume screening, candidate evaluation, and interview preparation.

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Automate resume screening with this AI-powered system, leveraging NLP to match candidates with job descriptions efficiently. Streamlit app for easy resume upload and ranking.

AI-powered Resume Screening System that extracts, analyzes, and ranks resumes based on job relevance using NLP techniques.

AI Recruiter Agency - An AI-powered resume analysis and job matching system that automates candidate screening using LLaMA 3.2 and coordinated AI agents.

AI-powered Resume Screening System that analyzes and ranks resumes based on similarity to a job description using NLP and TF-IDF. Built with Python, Scikit-learn, and Streamlit, it extracts text from PDF/DOCX files and calculates cosine similarity to help recruiters shortlist candidates efficiently.

This is an AI resume Screening project where users can upload bulk resumes and rank them using Ai ranking system

The aim of the AI-powered Resume Screening and Ranking System is to automate and optimize the process of reviewing and shortlisting resumes for job openings.This helps reduce the time spent on manual screening, ensures consistent and objective evaluations, and improves the quality of candidate selection.

AI-based Resume Screening System using NLP and ML

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.

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Talent Scout AI is a resume screening system that uses Google Gemini to parse resumes, evaluate skills, and rank candidates based on job-specific requirements all through a modern, easy-to-use HR dashboard.

AI-Driven Resume Screening System: An intelligent hiring platform that uses NLP and machine learning to automatically parse, rank, and match candidate resumes with job descriptions, featuring explainable AI rankings, bias detection, and an interactive chatbot for interview preparation.

An AI-powered resume screening system that analyzes candidate profiles, matches them with job criteria, and provides structured justifications. Automates hiring decisions with intelligent ranking and insights. 🚀🤖

Applicant Tracking System (ATS) is a full-stack web app for streamlining recruitment. It supports job posting, candidate applications, and AI-based resume screening. Built with React.js, NestJS, and Python, it offers role-based access, interview management, and candidate tracking.

The AI Resume Screening & Candidate Ranking System is a Streamlit-based web app that automates resume evaluation by ranking candidates based on job description relevance. Using NLP and Machine Learning, it extracts text from PDFs, converts it into numerical vectors via TF-IDF, and computes Cosine Similarity to identify the best matches.

AI-powered Resume Screening System using NLP and Machine Learning to rank candidates based on job descriptions.

Built NLP-based system to parse, embed, and rank resumes using Sentence Transformers, Implemented cosine similarity ranking and skill extraction, Deployed using Streamlit, Integrated explainability module for HR transparency

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🚀 AI Resume Screening & Ranking System | Streamlit + ML An AI-powered tool for resume parsing & ranking using TF-IDF & Cosine Similarity. ✅ PDF Resume Extraction | ✅ ML-Based Ranking | ✅ Streamlit Web App 🔗 Tech: Python | NLP | Machine Learning | Streamlit | Pandas | PyPDF2

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Developed an AI-powered system to automate the process of resume screening and shortlisting based on job descriptions.

AI resume screening and candidate ranking system using Python, FastAPI, and semantic skill matching to analyze resumes and compare candidates against job descriptions.

An end-to-end AI-based Resume Screening system that automatically extracts candidate information from resumes, evaluates skill match against job requirements, and recommends suitable roles.

A backend system for a recruitment platform built with Go, Gin, MySQL, and JWT. Features include job and resume management, user authentication, and AI-powered resume screening and job matching.

AI-based Resume Screening System automates recruitment by analyzing resumes using NLP and ATS scoring. It matches resumes with job descriptions, conducts online tests, ranks candidates objectively, and allows HR to finalize shortlists through a web-based dashboard.