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.

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

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.

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.

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.

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

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

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

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.

🚀 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

Automated AI Resume Screening is a web application that allows users to upload resumes and job descriptions in PDF format. The system processes these documents using AI and NLP techniques to extract skills, education, experience, and match resumes with job descriptions based on similarity scores.

This project aims to develop a fair, accurate, and interpretable AI-based resume screening system that minimizes biases in automated hiring processes. It employs cutting-edge NLP techniques like BERT embeddings, Bias Detection and Mitigation strategies, and Explainable AI (XAI) methods to ensure ethical and transparent decision-making.

ResumeRadar: AI-powered resume matching and ranking system that uses dual-scoring NLP techniques (TF-IDF and sentence transformers) to match candidate resumes against job descriptions. Built with Python/Flask and featuring detailed evaluation metrics, t-SNE visualizations, and database storage. Developed by B.Tech CSE students at Graphic Era.

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A professional ATS-optimized Resume Analyzer built with Flask. Features dynamic role prediction, interactive match and real-time historical scan tracking for career optimization.

AI-Based Resume Screening System

Built a Flask-based web app to automate resume screening using NLP and similarity scoring. Extracted text from PDFs, cleaned and vectorized it using TF-IDF, and ranked resumes by comparing them to job descriptions via cosine similarity. Designed an intuitive frontend and integrated semantic search for improved accuracy.

AI - based Resume Screening & Ranking System

AI & NLP based resume screening system

AI-Based Resume Screening and Hiring Prediction System

AI-based Resume Screening and Skill Gap Analysis System

AI-powered resume screening system with tab-based wizard interface

an Ai resume screening system that shortlists the resumes based on the job description

AI-based Resume Screening System, with python data science and machine learning

AI-powered Resume Screening & Job Matching System using BERT-based Semantic Embeddings