faceattendence1

Project information

Face Recognition-Based Attendance System 🔒 Secure Attendance | 🎥 Real-Time Face Detection | 🚫 No Proxy 📌 Project Overview This project is a Streamlit-based facial recognition attendance system developed in Python. It ensures that only authenticated users can mark their attendance, effectively eliminating the possibility of proxy attendance.

🎯 Objective To design a secure and automated attendance system that verifies user identity through real-time face recognition, granting access only to the legitimate user.

💡 Key Features ✅ Real-time face detection and recognition using webcam.

🛡️ Prevents proxy/fake attendance.

💻 Web interface built with Streamlit for ease of use.

🗂️ Attendance data stored with timestamp and user name.

📋 Attendance logs are maintained in a structured format (CSV or Excel).

🛠️ Technologies Used Python 3.x

OpenCV – for video capture and image processing

face_recognition – for face encoding and matching

Streamlit – to build an interactive web application

NumPy & Pandas – for data processing and attendance logging

🚀 How It Works User accesses the Streamlit web interface.

The webcam