Recommendation System for Job Using ML & DL

The increasing demand for an efficient and user - friendly platform to bridge the gap between students and recruiters has led to the development of the Campus Career Hub. This paper presents a cross-platform mobile application built using Flutter, Dart, and Firebase, designed to facilitate job applications, profile management, job postings, and aptitude testing. The system allows students to create profiles, apply for jobs, and take skill-assessment tests, while recruiters can post job listings and filter candidates based on aptitude scores. The application leverages Firebase Authentication, Firestore, and Cloud Functions for secure and scalable backend operations. The paper discusses the system architecture, key functionalities, implementation challenges, and future enhancements.