AI Resume Screening Agent is a Streamlit-based web app that automatically analyzes resumes, scores them based on skills and experience, and sends personalized feedback via email—streamlining the recruitment process with AI.

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.

ResuMate: AI-powered resume screening app using Streamlit, OpenAI, and LlamaIndex. Automate candidate evaluation and boost hiring efficiency.

AI-Powered Resume Screening App categorizing resumes into job roles using NLP (TF-IDF) and ML (KNeighbors, OneVsRest) with a Streamlit interface. Trained on a Kaggle dataset.

AI/ML enthusiast | B.E. in AI/ML @ CMRIT | Building innovative solutions with Python, React, TensorFlow, and AWS. Passionate about resume screening, web apps, and ethical tech.

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.

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.

Build a powerful Resume Screening App using Laravel, Retrieval-Augmented Generation (RAG) techniques, OpenAI for intelligent analysis, and Twilio SendGrid for automated email notifications. This guide walks you through integrating these tools to streamline your hiring process efficiently.

🚀 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

An AI Resume Screening App

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AICTE internship on AI , techsaksham

“AI-powered resume screening app using BERT and Streamlit.”

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

AI‑powered resume screening app built with Python and Streamlit. Automates parsing, JD matching, candidate ranking, and transparent scoring.

AI‑powered resume screening app built with Python and Streamlit. Automates parsing, JD matching, candidate ranking, and transparent scoring.

AI-Powered Resume Screening App A machine learning-based web app that analyzes and classifies resumes using NLP and TF-IDF. Built with Streamlit, it helps recruiters quickly identify relevant candidates by predicting job roles from resume content.

https://smart-resume-analyzer-gqstm9vovcrqdmxndvdr7s.streamlit.app/ AI-powered solution for resume screening and employee sentiment analysis. Uses NLP and Gemini AI to match resumes with job descriptions and predict attrition risk from employee feedback. Built with Python, scikit-learn, and Google AI Studio.

Cvision – A full‑stack, AI-powered resume screening app that automatically ranks resumes against job descriptions, helping recruiters quickly identify the best candidates. Built with modern web technologies for efficiency and scalability.

Real Time Resume Screening Web App: AI-powered web app that analyzes resumes in real-time and predicts the most suitable job category using NLP and machine learning. Built with Streamlit for an interactive, user-friendly interface.

An AI-driven resume screening tool built with explainable NLP and machine learning. The app analyzes resumes against job descriptions to generate a match score, identify skill gaps, and offer clear, interpretable hiring insights.

A lightweight and efficient AI-powered resume screening app built with Streamlit, docx2txt, and PyPDF2. This project helps HR teams and recruiters automatically parse and evaluate resumes against predefined job roles based on keyword matching.

An AI-powered web app that automates resume screening using NLP and BERT. Recruiters can upload resumes, input job descriptions, get ranked candidates, export shortlists, and send automated emails — with secure login and easy management.

AI-powered resume screening and tailoring app built with FastAPI, React, and Docker. Upload your resume and a job description to instantly analyze keyword alignment, detect missing skills, and get personalized feedback for better ATS matches.

AI Resume Screening & Ranking System 🚀 A Streamlit-based web app that uses NLP and Machine Learning to analyze and rank resumes based on job descriptions. Features PDF uploads, TF-IDF vectorization, Cosine Similarity for ranking, and detailed analytics. Built with Python, NLTK, scikit-learn, and PyPDF2.

An AI-powered resume screening app for recruiters that parses resumes, matches candidates to job-specific skills, experience, and certifications, and generates explainable match scores. A real-time dashboard shows insights like top skills, pending profiles, and activity, with a modern mobile UI backed by ML-driven analytics.

AI-based resume screening App