priyanshusingh302 / Attendance-using-ML

Project integrating machine learning, Django, and OpenCV for accurate user identification and secure attendance management

SMART ATTENDANCE SYSTEM

This web application incorporates machine learning, Django, and OpenCV to facilitate a user attendance system with advanced features.

Features

• Face Recognition: Utilizes OpenCV and a KNN classifier for accurate and efficient user identification through facial recognition.
• Secure User Registration: Implements a secure user registration process with two-factor email authentication to enhance account security.
• Robust User Login System: Utilizes Django's inbuilt authenticator to establish a secure login system, ensuring only authorized access to the application.

Tech Stack

• Python

• Django

• OpenCV

• SQLite

• HTML

• CSS

  Installation

To run the Smart Attendance System locally, follow these steps:

1. Clone the repository:

git clone https://github.com/priyanshusingh302/Attendance-using-ML.git

2. Navigate to the project directory:

cd Attendance-using-ML

3. Install dependencies:

pip install -r requirements.txt

4. Run migrations:

python manage.py migrate

5. Start the development server:

python manage.py runserver

6. Access the application in your web browser at http://localhost:8000.