Implementing Automated Attendance System Using Face Recognition

This paper introduces a method for verifying individuals through facial recognition. Images are collected during the registration process and for live verification, using OpenCV to enhance data security. Live facial data is compared to stored records with the help of the DeepFace library for accurate identification. In case of mismatches, a message is sent to the administrator via Twilio API. Participation records are updated in an Excel file, marking individuals as present or absent based on verification. This method offers an efficient and automated way to manage participation records. It combines instant notifications, real-time data updates, and cloud-based communication to improve performance. By utilizing advanced tools such as deep learning and computer vision, this project highlights how modern technologies can streamline processes and ensure accurate and dependable user validation.