This repository implements a Job Recommendation System using Machine Learning (ML) and Natural Language Processing (NLP). Designed to recommend job offers based on skill similarity, the system is developed in Python and offers a user-friendly interface through a Flask web application.

Job Recommendation System - AI-powered platform matching candidates with ideal jobs using NLP and ML. Features automated job classification, skill extraction, and personalized recommendations via FastAPI. Built with Python, scikit-learn, and MLflow. Perfect for HR and career services.

This is a job recommendation system called JobMatch AI.I has a Flask backend in Python, a frontend in HTML/CSS/Bootstrap and an NLP/ML layer that uses TF-IDF + cosine similarity. Flow is: user logs in→fills profile / uploads resume→convert skills to vectors→compute similarity with all jobs→then shows ranked recommendations and stats on dashboard.

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.

ResuMate is an intelligent AI-powered resume analysis & job recommendation system that extracts important information from resumes using NLP, predicts a student’s placement tier using an ML model, and matches candidates with top companies based on skills, experience, and academic performance.

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Flask-based NLP & ML Resume Analyzer with Job Recommendation System

AI Resume Screening & Job Recommendation System using Python, ML and NLP

AI-based resume screening and job recommendation system using NLP and ML

An AI/ML-based resume screening and job recommendation system using NLP and machine learning techniques.

An intelligent agent-based job search system uses AI, ML, and NLP to automate tasks, personalize recommendations, and improve job matching.

AI-Powered Resume Analyzer & Job Recommendation System that extracts skills using NLP, evaluates resumes, and recommends matching job roles using ML-based similarity scoring. Includes parsing, scoring, recommendations, and clean modular architecture.

A personalized job recommendation system that uses user skills, preferences, and experience to suggest the most suitable job openings. It uses NLP + ML for smart matching and integrates with job APIs (like LinkedIn, indeed, or GitHub Jobs).

Job Fit Analyzer is an explainable AI system that evaluates job–candidate fit using classical NLP and ML. It analyzes resumes and job descriptions to produce transparent scores, skill gaps, learning potential, and recruiter-ready recommendations.

An AI-powered job recommendation system that suggests relevant jobs based on user skills and experience. It uses NLP techniques like TF-IDF and cosine similarity to match user skills with job requirements and rank jobs by similarity. Built with Python, Scikit-learn, Flask, and SQLite for ML, backend APIs, and database integration.

This is a job recommendation system called JobMatch AI.I has a Flask backend in Python, a frontend in HTML/CSS/Bootstrap and an NLP/ML layer that uses TF-IDF + cosine similarity. Flow is: user logs in→fills profile / uploads resume→convert skills to vectors→compute similarity with all jobs→then shows ranked recommendations and stats on dashboard.

ResumeGenius is an AI-powered tool that leverages advanced NLP and ML algorithms to analyze and enhance resumes. It provides personalized recommendations for improving content, structure, and keyword optimization, boosting job seekers' visibility to recruiters and improving their chances of passing through Applicant Tracking Systems (ATS)