Automated-Face-Recognition-Attendance-System

Key Features

• Image Upload: Upload images with student names or IDs to register them in the system.
• Camera Access: Open the camera to take attendance using face recognition.
• Attendance Record: Download the updated CSV file to check attendance records.
• Web-Based Interface: User-friendly web interface built with HTML, CSS, and JavaScript.
• Flask Backend: Python Flask used for backend processing and handling requests.

Prerequisites

Before you begin, ensure you have met the following requirements:

• Python 3.6 or higher installed
• Pip (Python package installer) installed
• Flask installed
• Required Python libraries installed (e.g., opencv-python, face_recognition, numpy, pandas)

Installation

CLone the Repo :

git clone https://github.com/AkashSaha2001/Automated-Face-Recognition-Attendance-System.git

Install the required Python libraries:

pip install -r requirements.txt

Run the Flask Application

python app.py

Usage

Upload Image:

• Go to the "Upload Image" section.
• Upload an image and enter the student name or ID.
• Click "Submit" to register the student in the system.

  Open Camera:

• Go to the "Take Attendance" section.
• Click "Open Camera" to start the camera and take attendance using face recognition.

  Download Attendance:

• Go to the "Download CSV" section.
• Click "Download" to download the updated CSV file containing attendance records.