Facial Recognition Attendance System

A web-based attendance system using facial recognition technology powered by Flask, OpenCV, and machine learning.

Features

• 🎯 Real-time Face Recognition: Uses Haar Cascade and K-Nearest Neighbors (KNN) algorithm
• 📝 Student Registration: Capture facial data through webcam
• ✅ Attendance Tracking: Automatically records attendance with timestamps
• 📊 Attendance Reports: View attendance records in CSV format
• 👥 Student Management: Add/remove students from the system
• 🌓 Dark/Light Mode: User-friendly interface with dark mode support
• 📱 Responsive Design: Works on both desktop and mobile devices
• 🔊 Text-to-Speech: Audio feedback for important actions

Technologies Used

• Backend: Python, Flask
• Computer Vision: OpenCV, Haar Cascade
• Machine Learning: scikit-learn, KNN classifier
• Frontend: HTML5, CSS3, JavaScript
• Data Storage: Pickle files for facial data, CSV for attendance records

Installation

Prerequisites

• Python 3.7+
• Webcam
• pip package manager

Steps

1. Clone the repository:

   git clone https://github.com/your-username/facial-recognition-attendance.git  
   cd facial-recognition-attendance