DESIGN AND IMPLEMENTATION OF PROJECT SUPERVISOR ALLOCATION SYSTEM USING FACIAL RECOGNITION
Abstract
This project presents a supervisor allocation system using facial recognition technology to streamline and automate the process of assigning project supervisors to students. By leveraging facial recognition, the system verifies student identities, ensuring secure and accurate supervisor allocation based on predefined criteria such as department, expertise and workload balance. This approach enhances administrative efficiency, minimizes human error and provides a secure, user-friendly experience for students and supervisors alike.
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