An attendance management system using state-of-the-art face detection and recognition algorithms. This system of attendance tracking helps alleviate major grievances in the present system such as unnecessary time consumption and proxies.

Technologies include:

• Keras
• Tensorflow
• Flask
• MongoDB

• Installation
• Features
• Contributing
• Team
• FAQ
• Support
• License

• Clone the repo
• Create a virtual environment using virtualenv from PyPI, install all required dependencies from requirements.txt and run the application using Python3.

• Clone this repo to your local machine using https://github.com/mrsaicharan1/face-rec-a

• If you want more syntax highlighting, format your code like this:

update existing packages

$ sudo apt-get update
$ pip3 install -r requirements.txt

Install dependencies in a virtual environment and run the application

$ virtualenv venv
$ . venv/bin/activate
$ pip3 install -r requirements.txt
$ python3 app.py

• Going into more detail on code and technologies used
• I utilized this nifty Markdown Cheatsheet for this sample README.

To get started...

• Option 1

  • 🍴 Fork this repo!

• Option 2

  • 👯 Clone this repo to your local machine using `https://github.com/mrsaicharan1/face-attendance

• HACK AWAY! 🔨🔨🔨

• 🔃 Create a new pull request using https://github.com/mrsaicharan1/face-rec-a/compare/.

Or Contributors/People

Divija Palleti	Saicharan Reddy	Sid

Reach out to me at one of the following places!

• Website at https://freeflo.tech
• Twitter at @reddy_reddy1

• MIT license
• Copyright 2018 © Freeflo.