AI-Based Faculty Assistance System

Abstract

This paper presents the development and implementation of an AI-based Faculty Assistance System that integrates multiple academic functionalities into a unified platform. The core component is an automated attendance system utilizing facial recognition technology. Additionally, the system incorporates a quiz generator that dynamically curates assessments based on predefined parameters and a project tracking module to facilitate academic project management. This integrated approach addresses the inefficiencies of traditional systems by enhancing accuracy, reducing manual effort, and ensuring data security. Performance evaluations demonstrate the system’s effectiveness in real-world scenarios, showcasing its potential for deployment in educational institutions and corporate environments.