/NEOfest

Employee Attendance System using AI/ML and CCTV

This repository contains the project for the IdeaNthon hackathon, which is an Employee Attendance System using AI/ML and CCTV. The project aims to automate the process of taking attendance in an organization by leveraging artificial intelligence and machine learning techniques combined with CCTV footage.

Features

  • Automatically detect and recognize employees from CCTV footage.
  • Utilize machine learning algorithms to verify employee identities.
  • Capture timestamps for employee entry and exit.
  • Generate accurate attendance reports.

Presentation Files

The presentation directory contains the following files related to the project presentation:

  1. Presentation.pdf: This is a PDF file that includes a detailed presentation of the project, explaining its objectives, implementation details, challenges faced, and results obtained.

  2. Presentation.mp4: This is a video file that accompanies the presentation slides. It provides a visual demonstration of the Employee Attendance System, showcasing its features and functionality.

Getting Started

To get started with this project:

  1. Clone this repository:

    git clone https://github.com/your-username/Employee-Attendance-System.git

  2. Access the presentation directory to view or download the presentation files.

  3. If you are interested in exploring or contributing to the codebase of this project, navigate to relevant directories such as AI_Models, CCTV_Data_Processing, etc., for detailed instructions on how to set up and run different components of the system.

Please ensure that you have all necessary dependencies installed before running any code related to this project.

Contributing

If you would like to contribute or provide feedback on this project, please feel free to submit a pull request or open an issue on GitHub. We welcome your suggestions for improvements or any bug fixes you may discover.

Thank you for your interest in our Employee Attendance System using AI/ML and CCTV project!

Note: The CCTV footage used in this project may be subject to legal and privacy regulations in certain jurisdictions. Ensure compliance with local laws and regulations before implementing or using this system.