LATE CHECKER – FACE RECOGNITION-BASED ATTENDANCE SYSTEM

Abstract

This Project aims to build an automated facial recognition-based attendance system called late checker. The System ultilize the camera to detect and recognize employees faces as they arrive, making the attendance process be more efficient and contactless. The system was developed using client-server architecture, with ReactJS as the user interface (frontend), Flask as the main server (Backend), and PostgreSQL as the database As part of the development team, I contributed to building system's security features, specially password strength validation on the frontend and password encryption (hashing) using bcrypt on the backend. The password validation was designed to only accept secure combinations, such as a minimum of eight character, the presence of uppercase letters, numbers, and special characters. On the server side, bcrypt was used to stored passwords in a encrypted form, preventing the misuse of sensitive data in the event of a security breach The development of this features aims to enhance protection againt unauthorized access and maintain the integrity of attendance data. By combining authentication security and facial recognition technology, Late Checker is expected to become a modern solution for safe and reliable attendance management needs.