ashiquebiniqbal Goto Github PK

django-angular-ionic

Leveraging a REST API built with Django, we'll build an Angular Web App. With the same API, we'll build a mobile app using the Ionic Framework.

django-bangla-book

A crowd sourced Django book in Bangla

django-blog

django-ecommerce

An e-commerce website built with Django

django_exam

djangoflix

Create a netflix-like service using Django. Learn advanced Django techniques to achieve amazing results like never before.

dl-nano

Udacity Deep Learning Nanodegree

dldt

OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository

dlnd

Udacity Deep Learning Foundations Nanodegrees

docs

TensorFlow documentation

document-scanner

Source code for the Capstone Project of Udacity Android Developer Nanodegree

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

dsnd_term2

Contains files related to content and project of DSND Term 2

e-commerce-app-ui-flutter

Nice and clean Online Shop app UI by using #Flutter.

e-commerce-complete-flutter-ui

earth

a project to visualize global weather conditions

eas-opencv-face_detection-python-django

Employee Attendance System by Real-Time Face Detection.

ecommerce

We're going to take you step-by-step to build a modern, fully open-source, eCommerce web application using Python, Django, Bootstrap, Javascript, and more.

emotion_dataset

:smile: Dataset for Emotion Classification

employee-management-service-tutorial

employee-management-service-tutorial

end-to-end-time-series

This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK

engineering-video-courses

eremit

euro-trip

Euro trip!!!

express

Fast, unopinionated, minimalist web framework for node.

extended-kalman-filter

Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters

face-api.js

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

face-depixelizer

Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.

face-recognition-based-attendance-moniroeing-system

Facial recognition could soon jump from your smartphone to your workplace with employers using it to mark attendance and gauge the mood of the workforce.Every day, corporate offices and institutes are working to increase the productive working hours in a day. When the current system of clocking in daily using a fingerprint scanner is a time-consuming and inefficient use of time. I have planned to design a Voice Interactive Face Detection Based Smart Attendance management and behavior analysis to ensure a better work culture and environment,efficiency in a secure manner using Intel dev cloud. Currently, we have fingerprint and Smart-card Based entries in nearly all offices and a few schools and colleges. These system then automates the calculation of salary or attendance percentage.But fingerprint scanning and smart card barcode entries tend to take up time and prove to also be imperfect. In contrast, Face Recognition method provides a unique feature for every individual which is stored in a central database and can be retrieved during recognition and validation. The system includes an embedded application deployed in a SCB( Single Board Computer) which can interact with the users in real time. It will take down in and out time of every employee and monitor their working behavior(future scope) and notify the corresponding employee and the authority at times. We are aiming to analyze people's behavior,mood and emotions by monitoring and studying their actions in real time which in turn will help the organization know about the physical and mental status of the employees. This process of direct integration of physical world into computer vision based systems will indeed result in efficiency improvements, economic benefits and reduced human exertions. As of now I have developed a basic voice interactive attendance monitoring using Jupyter Notebook on Intel dev cloud. The in and out time (including mid in and out) will be monitored in Google spreadsheet and the system will calculate how many hours an employee has spent in office premises. The system won’t allow employees to step into the office after a certain time and won’t consider the attendance if the total hours spent is less than four hours. Everyday a mail will be sent to the admin containing the attendance details of the employees. In future, I would like to implement behavior and mood analysis of the employees and the staff on the office premises which in turn will help the concerned staff provide with solutions to get over the listless mood or erratic behavior.

facebook

facebook home page and few routings in react.js