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
- 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.