Career Compass: AI-Powered resume Analyzer

This paper presents Career Compass, an Artificial Intelligence–based job recommendation system designed to assist job seekers in identifying suitable career opportunities based on their skills, qualifications, and experience. Traditional recruitment platforms often rely on manual resume screening and simple keyword matching, which can lead to inefficient candidate–job matching and missed opportunities for qualified applicants. The proposed system utilizes Natural Language Processing (NLP) and Machine Learning techniques to analyze resumes, extract relevant skills and information, and compare them with job requirements stored in a database. By automating the resume analysis and skill matching process, the system provides personalized job recommendations that help users identify roles aligned with their profiles. Career Compass is implemented using a modern web architecture, consisting of a React-based frontend, a FastAPI backend built with Python, and a MongoDB database for storing user profiles and job data. This architecture enables efficient resume processing, scalable data management, and real-time recommendation generation. The system demonstrates how AI-powered recruitment platforms can enhance the efficiency of the hiring process while providing better career guidance for job seekers. Future improvements include integrating advanced machine learning models, skill gap analysis, and real-time job market insights to further enhance recommendation accuracy and user experience.