Data Privacy Challenges in Cloud-Based Interview Management Systems

The Interview Management System (IMS) is a role-based recruitment platform designed to streamline the hiring process for administrators, recruiters, and candidates. By leveraging modern web technologies such as Next.js, PostgreSQL, Prisma, and AWS services, the IMS enhances efficiency in job postings, candidate applications, interview scheduling, and realtime communication. The system implements secure authentication using JWT, OTP-based password recovery, and role-based access control to ensure data security and privacy. Recruiters can post jobs, review applications, and schedule interviews, while candidates can create profiles, apply for jobs, and communicate with recruiters. A ranking algorithm assists recruiters in selecting the best candidates based on experience and skills. Additionally, Firebase powers real-time messaging, and AWS SES handles secure email communications. The IMS integrates Google Calendar for interview scheduling and AWS S3 for efficient data storage. This research paper explores the system’s architecture, development methodology, security measures, and potential enhancements for AI-driven candidate matching and advanced analytics. The IMS represents a modern solution for optimizing the hiring process, improving collaboration, and reducing recruitment inefficiencies.