Resume Screening using Machine Learning and Python

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.

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.

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.

A machine learning project for ResumeScreening.

🎯 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.

This ATS AI tool score and suggestions to your resume.

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.

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.

This project analyzes and preprocess the resumes data (consist of 2K+ instances) applying Natural Language Processing (NLP). It also involves the classification applying a variety of Machine Learning (ML) techniques.

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.

Embark on a machine learning journey with Python to streamline the resume screening process. This project aims to efficiently select the most suitable candidates for a job posting among numerous applicants.