A facial recognition-based Smart Attendance System using Python, OpenCV, Flask, and Google Sheets. Features real-time face detection, admin dashboard, shortage tracking, and dual attendance storage (Excel + Google Sheets). Developed by Anusha Devadiga and team for academic use.

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SmartAttendance is a modern web application built using the MERN stack (MongoDB, Express, React, Node.js).

The SmartAttendance is a web application which takes attendance of students for a lecture using face recognition.

SmartAttendance System is a web-based application that automates attendance using face recognition technology. Built with HTML, CSS, JavaScript, and React, it identifies registered users in real time and records attendance accurately, reducing manual effort, errors, and proxy attendance.

*SmartAttendance* is a real-time face recognition system that automatically marks attendance using your webcam. It detects and identifies faces, logs attendance with timestamps to a CSV file, and displays everything on a live web dashboard — no manual input needed. Built with Python, OpenCV, and Flask.