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FaceSnap Attendance System

FaceSnap is an innovative student attendance management system leveraging facial recognition technology to streamline attendance tracking in educational institutions.

About

FaceSnap is designed to automate attendance management, enhance efficiency, and provide robust security features. The system utilizes advanced facial recognition technology to ensure accurate and error-free tracking while reducing manual effort.

Usage

  1. Capture faces using high-resolution HD cameras with face recognition capabilities.
  2. Access the user-friendly interface for teachers and students.
  3. Administer attendance through the system’s streamlined process.
  4. Monitor real-time tracking and analytics.

Installation

  1. Clone the repository: git clone https://github.com/ShubhamChoudharyShubh/FaceSnap.git
  2. Install the necessary dependencies using your preferred package manager.
  3. Set up the required databases (MySQL, SQLite) and configure the system settings.
  4. Run the application locally or deploy it on a server.

Technology

  • Programming Languages: Python, JavaScript
  • Frameworks and Libraries: OpenCV, TensorFlow/PyTorch, Google FaceNet, Flask
  • Front-end Technologies: HTML, CSS, JavaScript
  • Database Management: MySQL, SQLite
  • Development Tools: Visual Studio Code, Git

Hardware

  • Cameras: High-resolution HD cameras
  • Networking Equipment: Wi-Fi or Ethernet
  • Computing Hardware: CPU (Intel Core i3 or AMD Ryzen), Memory (8GB RAM), Storage (556 SSD)

Software

  • Operating Systems: Windows, Linux, macOS

Team Members

  • Nikhil Patil
  • Shubham Choudhary

Guide & Co-Guide

  • Mrs. Tuhin Shukla
  • Mrs. Lakshmi Suresh

Thank you for checking out FaceSnap! If you have any questions, feel free to ask.