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.
- MVVM
- Core Widget
- Base Models
- State Management with MobX, Provider
- Cache Management
- Navigation
- Network Layer
- Multi-language
- Theme Notifier
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 git@github.com:merthankavak/attendancesystem_flutter.git
Step 2:
Go to project root and execute the following command in console to get the required dependencies:
flutter pub get
Step 3:
To run this project all we have to do is run this command
flutter run
| Splash | OnBoard | Sign Up |
 |
 |
 |
| Sign In | Forgot Password | Confirm OTP |
 |
 |
 |
| Change Password | Menu | Course List |
 |
 |
 |
| Teacher Create Course | Teacher Add Schedule | Teacher Delete Course |
 |
 |
 |
| Student Join Course | Student Enroll | Course Students |
 |
 |
 |
| Course Lesson Dates | Course Attendace | Profile |
 |
 |
 |
| Settings | Dark Mode | Multi Language |
|
 |
 |