Intelligent resume analysis and evaluation system using artificial intelligence to support recruitment

ATS Resume Analyzer is web application built with Streamlit that helps you optimize your CV for Applicant Tracking Systems Upload your PDF resume to get an instant ATS score detailed feedback and actionable recommendations It intelligently parses key sections skills, experience, projects and education using spaCy & pdfminer.six.

CV Analyzer is an AI-powered resume screening system using MERN & Python (Flask, NLP, ML) for ATS scoring, resume parsing & keyword matching to streamline hiring. 🔍 Fast, Secure & Efficient!

CV Analyzer Pro est un outil intelligent conçu pour maximiser la compatibilité de votre candidature. Son objectif est de vous donner un avantage face aux systèmes de présélection (ATS - Applicant Tracking Systems) utilisés par les recruteurs.

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The manual screening of CVs for job applications is a time-consuming and subjective process that often leads to inefficiencies in recruitment. HR professionals typically spend 6-8 seconds reviewing each CV, which can result in qualified candidates being overlooked due to human fatigue or bias.

AI-based CV analyzer and job matching system for Job Matcher app

5 free AI skills for Claude Code: Competitor Radar, CV Analyzer, Memory System, Meta Ads Manager, n8n Workflow Builder

🤖 AI-powered CV analyzer that extracts and evaluates candidate resumes using OpenAI GPT, specifically for AWS event-driven system roles. Built with Python, PyPDF2, and SQLite.

Smart Job Application Analyzer (AI + MERN) - Users upload their CV and a job description. The system uses AI to analyze match %, suggest improvements, and generate tailored cover letters.

AI-powered resume analyzer with front-end and back-end integration. Built with Flask, SQLite, and NLP tools to assess CV quality and provide feedback. Includes a dashboard, custom rating system, and data analytics

CV Analyzer is a comprehensive full-stack web application designed to intelligently analyze resumes and provide actionable improvement recommendations. The system combines natural language processing with machine learning techniques to evaluate CVs across multiple dimensions and generate personalized suggestions

Workout Quality Analyzer is a real‑time CV system that uses YOLOv8 Pose + ByteTrack to track joints, recognize exercises, count reps, and flag form errors. It logs session metrics and visualizes progress, combining pose estimation, ML, and analytics for fitness feedback.