Metadata-Version: 2.2
Name: face_recognition_atd
Version: 2.0.1
Summary: A face recognition package with attendance tracking
Home-page: https://github.com/JoshikRaj/face_recognition
Author: Joshik Raj
Author-email: joshikrajjojo@gmail.com
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: opencv-python
Requires-Dist: face-recognition
Dynamic: author
Dynamic: author-email
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: summary

# Face Recognition Package

This is a Python package for face recognition and attendance tracking. The package utilizes popular libraries such as OpenCV, NumPy, and face-recognition to detect faces, recognize individuals, and mark attendance. The system can capture video from a webcam, match faces to stored images, and track when individuals enter and exit a room.

## Features
- Real-time face detection using webcam.
- Face recognition for attendance tracking.
- Logs attendance with timestamps in a CSV file.
- Easy-to-use Python package.

## Installation

### Prerequisites
Ensure you have Python 3.3 or above installed on your system. The following dependencies are required:

- `numpy`
- `opencv-python`
- `face-recognition`

### Install the package

1. Clone or download the repository.
2. Navigate to the project directory.

To install the required dependencies, run:

pip install -r requirements.txt
