Python
CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection
Design and Development of Integrated Human Resource Management System with Face Recognition Attendance
Aim:
Our study aims to design and develop a smart human resource and attendance management system using facial recognition technology to automate employee identification and attendance tracking. The system leverages AI-based face detection to ensure accuracy, eliminate proxy attendance, and streamline HR processes, thereby improving workforce efficiency, data security, and transparency within the organization.