Face detection and facial recognition along with recognized persons information fetched from database.

# Attendance-System-Face-Recognition This project is a web application demonstrating the use of facial recognition for marking attendance built as a part of my PS -1. It is a web application that can be used by the company to manage attendance of its employees. ## Functionality Supported - Admin and Employee Login - Admin : Register new employees. - Admin : Add employee photos to the training dataset. - Admin: Train the model. - Admin: View attendance reports of all employees. Attendance can be filtered by date or employee. - Employee - View attendance reports of self. ## Built Using - **OpenCV** - Open Source Computer Vision and Machine Learning software library - **Dlib** - C++ Library containing Machine Learning Algorithms - **face_recognition** by Adam Geitgey - **Django**- Python framework for web development. ### Face Detection - Dlib's HOG facial detector. ### Facial Landmark Detection - Dlib's 68 point shape predictor ### Extraction of Facial Embeddings - face_recognition by Adam Geitgey ### Classification of Unknown Embedding - using a Linear SVM (scikit-learn) The application was tested on data from 9 employees.

Python-OpenCV-Django Face Recognition Attendance System Project For Marking Attendance Automatically On Facial Recognition Generally Used In College And Offices.

An Improved Voting web application using facial recognition. Developed using Django framework, with some supporting python libraries and modules such as Deep Face etc.

This is a mobile attendance system using facial recognitions. It is build on web and andriod phone. Tools and packages uses are: Python, Django, Django rest Framework, html, css, javascript, flutter for andriod development, Keras, Numpy, Pandas, Tensorflow, OpenCv.

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Employee Facial recognition with python (django)

Facial Recognition on Raspberry with Python Django

before to clone this project you must install the following library

基于人脸识别的门禁管理系统(Python+Django+RESTframework+JsonWebToken)

Automated attendance system using facial recognition with Python, OpenCV, and Django.

A web app that authenticates via facial recognition.Bulit using Django,Python tensorflow.

Tracking attendance with the help of facial recognition using python, Openv and Django

Tracking attendance with the help of facial recognition using python, OpenCv and django

Deep learning CNN model for real-time facial expression recognition (Python, TensorFlow, Django).

This is a facial recognition app built with python, html, css, javascript, jquery , ajax and django

One REAL Python project per day. From ZERO to Facial Recognition. Machine Learning, Data Science, Django, IGU, Games+

Facial recognition technology is becoming increasingly popular in various industries, including the security and authentication sector. In this project, we will be building a facial recognition login system using Django, a popular Python web framework.

Facial-Recognition Attendance System – A Django web application that marks student attendance using real-time face recognition. Built with Python, Django, OpenCV and the face_recognition library. Includes user authentication, admin panel for managing records, and live webcam capture for automatic attendance logging.

An automated attendance management system using Facial Recognition technology. Built with Python, Django, and OpenCV to verify identity and log entry times in real-time.

A full-stack facial recognition application built in Python, using face_recognition and OpenCV for image processing, Django for backend logic and API routing, and HTML, JavaScript, and Bootstrap for a responsive user experience.

Revamping attendance & security: My project modernizes tracking with Python, Django & facial recognition. User-friendly interface simplifies management & enhances safety in education. Prioritizing data security, scalability, & comprehensive campus management.

A portfolio of practical projects demonstrating skills in Python, Django, database management, and automation — featuring systems for facial recognition integration, GPS tracking, warehouse inventory, and barcode-based tool management.

An end-to-end employee attendance system using real-time facial recognition. Built with Python, Django, OpenCV, and dlib. Features automatic check-in/out logging and an analytics dashboard.

This project presents the development and implementation of a "Face Recognition Attendance System" using the Django framework in Python. The system addresses the common issue of manual attendance management by automating the process through facial recognition technology.

Smart Attendance System - A web-based solution that automates student attendance using facial recognition and real-time data tracking. Built with Python, Django and OpenCV for accuracy, speed, and security.

Face authentication system built using Python and Django, integrating machine learning for real-time facial recognition and MySQL for data storage. It offers a reliable and modern alternative to traditional login methods.

This is a portal written in python and django which uses two-factor-authentication (2FA) to authenticate the user. For 2FA, a facial recognition methodology is applied, thus making use of the OpenCV library.

A comprehensive Attendance Management System leveraging facial recognition for secure and automated tracking. Built using Python, Django, Tkinter, and advanced Deep Learning models (DeepFace + MTCNN), the system is designed for reliability, scalability, and real-world deployment.

The Smart Attendance System is a cutting-edge computer vision project utilizing Python, OpenCV, TensorFlow/Keras, Flask/Django, and XML. It automates attendance tracking through facial recognition, providing real-time processing, secure data management, and comprehensive reporting.