Face Recognition Attendance System

👨‍🏫📸👩‍💻

Overview

This project is a Face Recognition Attendance System implemented using Python for the backend and the MERN stack (MongoDB, Express.js, React.js, Node.js) for the frontend. The system allows for automatic attendance tracking by recognizing faces captured through a camera.

Features

🔍 Face Detection: Detects faces in images or live video streams using computer vision techniques.

🔄 Face Recognition: Recognizes faces by comparing them to a pre-trained set of known faces.

📊 Attendance Tracking: Automatically tracks attendance based on recognized faces and stores it in a database.

🔒 Security: Ensures secure access to the system through authentication and authorization mechanisms.

Technologies Used

• Python: Used for the backend server and face recognition algorithms.
• MongoDB: A NoSQL database used for storing attendance records.
• Express.js: A Node.js web application framework used for building the backend API.
• React.js: A JavaScript library used for building the frontend user interface.
• Node.js: A JavaScript runtime environment used for running the backend server.

Installation

Prerequisites

• Python 3.9
• Node.js
• MongoDB

Steps

1. Clone the repository:

   git clone https://github.com/Abhishek058/face-recognition-attendance-system.git

2. Navigate to the backend directory and install dependencies:

   cd face-recognition-attendance-system/backend
   npm install

3. Navigate to the frontend directory and install dependencies:

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   cd ../frontend
   npm install
   

4. Start the backend server:

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   npm start
   

5. Start the frontend development server:

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   npm start
   

Access the application at http://localhost:5173.

Usage Register new users in the system with their names and images. Capture faces through a camera for attendance tracking. The system will automatically recognize and mark the attendance of registered users. View attendance records and manage users through the frontend interface. Contributors Aadarsh Abhishek Guransh Deol