Attendance System

Project Description

This project aims to create a facial recognition system that allows a doctor to take attendance using an app. The system uses a retrained FaceNet architecture as a feature extraction model to understand the similarity among face features. Then, a small neural network is trained using these features. Finally, the system is deployed using Flask API and HTML pages in the templates folder. When the doctor takes an image using the app, the attendance is taken, and the attendance sheet is sent to the doctor.

Installation

To install this project, follow these steps:

1. Clone the project repository using git clone https://github.com/space-codes/attendance-system.git
2. Navigate to the project directory using cd attendance-system
3. Create a virtual environment using python -m venv env
4. Activate the virtual environment using source env/bin/activate on macOS or Linux, or .\env\Scripts\activate on Windows.
5. Install the required packages using pip install -r src/requirements.txt

Usage

To use this project, follow these steps:

1. Activate the virtual environment using source env/bin/activate on macOS or Linux, or .\env\Scripts\activate on Windows.
2. Navigate to the src directory using cd src
3. Run the Flask app using python app.py
4. Open a web browser and navigate to http://localhost:5000 to access the app.