Resume Screening using Machine Learning and Python
AI Hiring Recommendation System is an ML-powered tool that analyzes job descriptions and candidate profiles to generate match scores. Using NLP, vectorization, and weighted similarity, it ranks candidates based on skills and relevance, helping streamline recruitment and improve shortlisting accuracy.
This ATS AI tool score and suggestions to your resume.
A machine learning project for ResumeScreening.
A machine learning project that predicts salaries based on candidate profiles and evaluates resumes using NLP techniques. It combines regression models and resume scoring logic to assist in data-driven recruitment decisions.
🎯 HireLens – An AI-powered resume screening and feedback platform for both jobseekers and recruiters. Get resume scores, improvement tips, and smart candidate ranking — all in one place.
AI-powered ATS Resume Analyzer with Gemini AI Feedback, PDF Parsing, Skill Extraction, Resume Matching, Interactive Charts, and Downloadable Reports.
A web-based Resume Screening System built using the MERN stack that allows recruiters to upload resumes, extract and manage candidate details, and efficiently evaluate applicants based on job requirements with features like search, filtering, and CSV export.
AI-powered Resume Screening and Ranking System using Streamlit and NLP. This project is made by me in AICTE internship program by Edunet under the guidence of Saumya Chaudhari.
AI-powered resume screening system using NLP embeddings and hybrid scoring to rank candidates based on skills, domain, experience, and semantic similarity.
AI-powered resume screening system using Flask, NLP semantic matching, and skill analysis to evaluate resumes and generate recommendations.
AI-powered app that predicts the most suitable job role from resume text using NLP and Machine Learning
Serverless resume screening agent built with Azure OpenAI and Document Intelligence that scores ATS alignment using keyword coverage and semantic similarity
Resume Screening usinf NLP and ML Technique
Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. AI-Powered Resume Shortlisting System leverages AI to evaluate resumes against job criteria, automating candidate screening, improving recruitment efficiency, and ensuring objective shortlisting.
This is a resume matcher application that allows users to upload resumes and filter them based on must-know and better-to-know skills. It processes resumes, extracts skills, and generates a report based on the best-matched candidates.
AI-powered ATS Resume Analyzer with Groq Llama 3, Skill Gap Detection, Recruiter Insights, and PDF Report Generation.
Upload JDs + resumes, auto-parse, semantic-shortlist top matches, then score with AI so recruiters spend less time hunting and more time hiring. Fast, practical, and just dramatic enough to keep HR awake during demos.
To associate your repository with the resumescreening topic, visit your repo's landing page and select "manage topics."