resume-analysis

木及简历，一款markdown的在线简历工具。 https://www.mujicv.com

Ai Resume Analyzer is a tool which parses information from a resume using natural language processing and finds the keywords, cluster them onto sectors based on their keywords. And lastly show recommendations, predictions, analytics to the applicant based on keyword matching.

Automated Resume Screening System using Machine Learning (With Dataset)

📄 Smart Resume AI is a powerful tool designed to revolutionize your job application process. With features like 📚 professional template building, 🔍 ATS-friendly analysis, and 🎯 AI-driven optimization, it ensures your resume stands out to recruiters. Smart Resume AI provides everything you need to craft a tailored, eye-catching resume. 🚀

This is web application for the Resume Analyser.

AI-powered job matching agent using CoreSpeed's Zypher framework. Analyzes JD-resume fit, finds matching jobs, and provides actionable insights.

A Simple NodeJs library to parse Resume / CV to JSON.

Rates the quality of a candidate based on his/her resume using unsupervised approaches

Extracting relevant information from resume using deep learning.

Job market analytics, salary prediction, and personalized recommendations for smarter job hunting.

Extracting Skills from resume using Machine Learning

Extracting keywords from a job description and looking for them in a resume

Use **AI** to Compare the CV to the job description to beat the ATS (Applicant tracking systems) in order to higher your chances to get the job

An unsupervised analysis combining topic modeling and clustering to preserve an individuals work history and credentials while tailoring their resume towards a new career field

Applicant Tracking System (ATS): A powerful platform leveraging generative AI and soft-match algorithms to analyze resumes against job descriptions. Built with React and Node.js, it streamlines hiring insights. Future plans include expanding to investor pitches and other structured documents.

Local, privacy-friendly resume analysis: convert, classify, and get advice using TF‑IDF, Logistic Regression, and sentence-transformer embeddings.

This project is a Django-based web application that focuses on resume analysis and scoring using advanced Natural Language Processing (NLP) techniques and machine learning models, including LSTM-based classification.

The world most advanced resume parser

AI-powered technical interview system with dynamic resume analysis, voice interaction, and automated evaluation reports.