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A Deep Learning Based Attendance System is a mobile application


A Deep Learning Based Attendance System is a mobile application that aims to make it easier for lecturers to check the attendance status of students which are attending the course. With the Deep Learning based attendance system, the data of each student in class will be uploaded to the system for the face recognition system. The Deep Learning based attendance system will analyze the students attendance with the data that is already collected and guide the teacher on the attendance process.

Architecture of Project:

  • MVVM
  • Theme Notifier
  • Core Widget
  • Base Models
  • Multi-language
  • State Management
  • Navigation
  • Cache
  • Network Layer

How to Use

First things first: you must properly set the following environment variable (/asset/app/.env):

  • APP_API_SITE (The backend service URL)

Attendance System Backend Service:

https://github.com/merthankavak/attendance_system

Step 1:

Download or clone this repo by using the link below:

https://github.com/merthankavak/attendancesystem_flutter

for ssh

git clone [email protected]:merthankavak/attendancesystem_flutter.git

Step 2:

Go to project root and execute the following command in console to get the required dependencies:

Step 3:

To run this project all we have to do is run this command

How It Works?


How It Works

For More Screenshots

https://github.com/merthankavak/attendancesystem_flutter/screenshots

Team NiceTRY — Members:

Merthan Kavak

Alper Tekin

İlker Kararmış

GitHub

View Github


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