OPPORTEXA - College Placement Tracking System
Year: 2026
Type: preprint
Abstract: This research paper presents the design and development of an AI-integrated College Placement Tracking System aimed at simplifying and automating campus recruitment activities. The proposed system provides a centralized platform connecting students, companies, and placement officers. The system is developed using React for the frontend, Java Spring Boot for backend services, and MySQL for database management. It provides features such as student registration, profile management, resume uploading, job posting, eligibility checking, job applications, and application status tracking. Additionally, AI-based features such as Resume Analysis, Skill Gap Analysis, and Interview Preparation are incorporated to support students in identifying skill requirements and improving their placement readiness. The proposed system aims to reduce manual work, improve communication, enhance recruitment transparency, and make the campus placement process more efficient and accessible.
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225404250