Smart Attendance System

📋 Overview

The Smart Attendance System is a project designed to automate the process of attendance tracking in classrooms or workplaces. It uses facial recognition technology to identify and mark attendance of individuals automatically, making the process efficient, reliable, and user-friendly.

🚀 Features

• Facial Recognition: Automatically identifies and records attendance using facial recognition technology.
• Real-Time Detection: Captures attendance in real-time as individuals enter a designated area.
• User Management: Admins can add, update, or remove registered users.
• Attendance Reports: Generates detailed reports of attendance records that can be exported for analysis.

🛠️ Technology Stack

• Backend: Python (Django)
• Frontend: HTML, CSS, JavaScript
• Database: SQLite/MySQL

Libraries:

• OpenCV: For image processing and face recognition.
• Numpy: For numerical operations.
• Pillow: For image handling.
• PyWin32: Windows-specific utility (optional, for Windows users).

📦 Installation

Clone the repository:

bash

• git clone https://github.com/AmardeepSingh-06/Smmart-Attendance-System.git
• cd Smart-Attendance-System

Install dependencies:

bash

• pip install -r requirements.txt

Setup database:

bash

• python manage.py makemigrations
• python manage.py migrate

Run the application:

bash

• python manage.py runserver
• Access the application: Open your browser and go to http://localhost:8000.