Hadirsmart

Hadirsmart: The Online Attendance Application is a modern solution for attendance management, featuring advanced capabilities such as face recognition and geolocation to ensure that attendance can only be recorded by verified individuals at designated locations.

🚀 Feature:

• Auth (Employee, HRD)
• Attendance (Check in, Check Out)
• Request (Leave, Permission, Overtime, Face training)
• Geofencing Radius
• next update -> Event, Calendar, payment, UI :)

⭐ Screenshots

Login Page	Profile Page	Request Attendance	Success Attendance

Dashboard HRD	Request Leave	REquest FaceTraining	Request Permission

Dashboard Employee	Request Leave	Request FaceTraining	Detail Request

💙 Flutter Readme:

SDK Recommendations

• Flutter: 3.24.3
• JDK: 17.0.12

Command for Build Runner:

dart pub run build_runner watch --delete-conflicting-outputs

Steps:

1. Use the Hyper UI extension: Hyper UI Extension for Flutter
2. If there is a state_util.dart file, open it and comment out its contents.
3. Open main.dart. If the code related to navigatorKey causes an error, fix the imports to resolve the issue.

Note:

The application is still under development. </>

🔥 Laravel Readme:

This guide provides instructions to set up and run a Laravel project in your local development environment.

Prerequisites

Ensure you have installed the following:

• PHP
• Composer
• MySQL or other databases supported by Laravel
• Git

Installation Steps

1. Clone the Repository

   git clone <repository_url>

2. Install Dependencies

   composer install

3. Copy the Environment File

   cp .env.example .env

4. Generate the Application Key

   php artisan key:generate

5. Set Up the Database
   Update the .env file with your database configuration:

   DB_CONNECTION=mysql  
   DB_HOST=127.0.0.1  
   DB_PORT=3306  
   DB_DATABASE=your_database_name  
   DB_USERNAME=your_username  
   DB_PASSWORD=your_password  

6. Run Database Migrations and Seeding

   php artisan migrate:fresh --seed

7. Start the Local Server

   php artisan serve

Setting Up Face Recognition Training

Once the Laravel project is running locally, follow these steps to set up the face recognition training:

1. Navigate to the Python App Directory

   cd ./python_app/

2. Install Dependencies

   pip install -r ./requirements.txt

Common Issues and Fixes

Python Issue 1

With Python 3.10.*, you may need to install Dlib (compatible with your Python version).

1. Clone this project:

   git clone https://github.com/z-mahmud22/Dlib_Windows_Python3.x

2. Navigate to the directory:

   cd Dlib_Windows_Python3.x

3. Run the following command:

   python -m pip install dlib-19.22.99-cp310-cp310-win_amd64.whl

References:

StackOverflow - Could not build wheels for Dlib

Python Issue 2

Error:

WARNING: Failed to write executable - trying to use .deleteme logic
ERROR: Could not install packages due to an OSError: [WinError 2] The system cannot find the file specified: 'C:\\Python311\\Scripts\\face_detection.exe' -> 'C:\\Python311\\Scripts\\face_detection.exe.deleteme'

Fix:

1. Run the following command:

   pip install numpy --user

   Or:

   pip install face_recognition

References:

StackOverflow - OSError: WinError 2

Python Issue 3

Error: Occurs with Numpy v2.

Something wrong: Unsupported image type, must be 8bit gray or RGB image.

Fix:

1. Uninstall the current Numpy version:

   pip uninstall numpy

2. Install a compatible version:

   pip install numpy==1.25.1

References:

StackOverflow - Unsupported Image Type