GOAL

To make a web app, which takes in details of students and then marks the attendance of the student, using face recognition feature, in a tabular format.

Tech Stack

• HTML, CSS and Javascript
• Python, Flask and OpenCv

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Development Environment Setup: Windows

Step 1: Downloading and Installing the Code Editor

You can install any one of the following code editors.

• Visual Studio Code
• Sublime Text 3
• Atom

---

Step 2: Installing Python 3.10

Download Python 3.10

• Download the Windows x86-64 executable installer for the 64-bit version of Windows
• Make sure to check 'Add Python 3.10 to Path' in the setup window of the Installer.

Verify the installation from the command prompt (Terminal) using the following command,

python --version

Installed version of python will be printed.

NOTE: IT IS MANDATORY TO DOWNLOAD Python 3.10. AS, SOME OF THE MODULES IN REQUIREMENTS.TXT FILE MAY NOT GET INSTALLED IN THE LOWER VERSIONS OF Python.

---

Step 3: Installing Git

Download Git

---

Step 4: Cloning Repository using Git

git clone https://github.com/Sudip704/face-recognition-attendance-system.git

---

Step 5: Installing Requirements

Open the local copy of the folder 'face-recognition-attendance-system' in your code editor (preferrably VS Code)

In VS Code, Click on terminal -> New Terminal

Paste the following command on the terminal

pip install -r requirements.txt

---

Step 6: Running the Project in local server

Now simply paste this

python app.py

Click on http://127.0.0.1:80 in the terminal to view the app in the browser

To stop press Ctrl+C

---

Project overview video link