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https://github.com/ramithperera/employee-attendance-system
Employee Attendance System Using Python
https://github.com/ramithperera/employee-attendance-system
Last synced: 7 days ago
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Employee Attendance System Using Python
- Host: GitHub
- URL: https://github.com/ramithperera/employee-attendance-system
- Owner: ramithperera
- Created: 2023-11-02T14:36:46.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2023-11-02T15:09:02.000Z (about 1 year ago)
- Last Synced: 2024-11-09T10:41:06.520Z (2 months ago)
- Language: HTML
- Size: 7.3 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Face-Recognition-Based-Employee-Attendance-System
This project is a web application demonstrating the use of facial recognition for marking attendance. It can be used by the company to manage attendance of its employees and generate attendance report/stats. It Reduces manual process errors by providing automated and a reliable attendance system that uses face recognition technology.
## Tech Stack
- Python
- Flask Framework
- HTML
- CSS
- JavaScript
- SQLite## Built Using
- [openCV](https://github.com/opencv/opencv) - Open Source Computer Vision and Machine Learning software library
- [dlib](https://github.com/davisking/dlib) - C++ Library containing Machine Learning Algorithms
- [face_recognition](https://github.com/ageitgey/face_recognition) - by Adam Geitgey
- [deepface](https://github.com/serengil/deepface) - a lightweight facial attribute analysis framework for python
- [Flask](https://github.com/pallets/flask) - Python framework for web development
- SQLite database## How to run?
First Download Zip or Clone the Project on Your Local Machine.
cd to the directory where root file is located
Create a virtual environment with all the dependencies
```bash
conda env create -f msenv.yml
```
activate that virtual environment
```bash
conda activate msenv
```
To run the application execute app.py
```bash
python app.py
```