Attendifyx: Smart Attendance System Using Deep Learning

Abstract

With the advent of the digital age, old attendance systems like manual registers and simple biometric verification tend to be susceptible to inefficiency, human mistakes, and proxy abuse. AttendifyX mitigates these issues by an intelligent, deep learning–powered face recognition method for automated and accurate classroom attendance. The framework utilizes the Buffalo-L version of InsightFace model together with a randomized multi-capture verification that flags a student present only if identified in a minimum of 75% of sampled captures within a session—hence reducing impersonation and short-term attendance fraud. Architecturally, AttendifyX incorporates a Python-based recognition module, a Node/Express backend store MySQL, and a React + Vite frontend that includes dashboards for administrators and instructors. Key features encompass automated reconciliation of attendance, reporting analytics, schedule management, and modular APIs ready for ERP integration. By integrating cutting-edge recognition, smart verification, and an intuitive admin interface, AttendifyX guarantees precision, transparency, and scalability—translating traditional attendance monitoring into a smooth, reliable digital process.