DigitalHR- Face Recognition Attendance System(Offline) icon

DigitalHR- Face Recognition Attendance System(Offline)

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DigitalHR- Face Recognition Attendance System(Offline)

Description

Face Recognition App in Flutter

Digital HR (Offline) is a comprehensive solution for managing attendance, developed using the Flutter programming language. This offline-based application ensures that almost all features are accessible without an internet connection, requiring online access only to email exported user attendance records. Among its rich features, the application utilizes face detection in Flutter to streamline attendance management.

By leveraging Google ML Kit, this face recognition app effectively learns and recognizes the faces of employees. With just one device, positioned in the office, all employees can be registered within the app. Once registered, employees can easily check in and check out, as well as record their lunch breaks. This application’s use of Flutter face recognition technology guarantees accurate and secure attendance tracking.

Moreover, the app employs Google ML Kit not only for facial recognition but also to prevent users from marking attendance on incorrect dates, ensuring reliability on both Android and iOS platforms. There’s no dependency on web servers or the internet, eliminating the risk of data tampering by employees. The reports generated are meticulously crafted for HR representatives, ensuring that all essential data is exported seamlessly.

Built using the Flutter framework, this application boasts a simple coding structure, modern and unique design, and clean features, making it an excellent choice for both Android and iOS devices.

Application Features:

  • Single Device Application – Just ONE device is enough for all employees
  • Hybrid Mobile Application
  • Works on Android as well as iOS
  • Machine Learning via Google ML Kit for Facial Recognition
  • Dashboard to perform check-in/check out as well as lunch in/lunch out
  • Settings Panel
  • Company Profile Setup
  • Master Password to access the Setting panel if set and enabled
  • Forgot password feature, which can be accessed by admins through facial recognition
  • Forgot password log book, logs cannot be deleted even by admins
  • Employee Creation with Facial data recognition using Machine Learning
  • Shift Management
  • Early check-in or early check-out feature in shift management
  • How early can an employee check in or check out, or how later after designated shift time can an employee check in or check out management
  • Birthday Reminder
  • Notices Management
  • Export data in csv format
  • Custom Birthday Messages
  • Date Time Tamper check in both Android and iOS
  • Fraud Detection as well as a check. Thumbnail size images are taken during each attendance, and admins can verify this from the settings page
  • Other general settings

This powerful face detection in a Flutter application is ideal for businesses seeking a robust and offline attendance management solution. Flutter’s face recognition capabilities offer a unique and secure way to manage employee attendance effectively.

digitalbanoff

What do you get?

  • .dart file
  • .yaml file
  • info.plist file
  • .apk demo file
  • Well documentation which includes user manual

Notes:

  • Images are only for demo purposes and not included with the download bundle.

refundbanned

Date: Dec 14, 2023
1. Face Detection logic has been improved; faces can be easily detected now.

Date: January 7, 2024
1. The crash issue on some Android devices while saving captured images has been fixed.

Date: January 11, 2024
1. Build issue on iOS build fixed
TypeFlutter App
AuthorHtmlDesignTemplates
Price$99
Sales15
Rating0 (0)
PublishedNov 10, 2023
Last UpdateDec 2, 2024
Compatible SoftwareFlutter 3.x, Flutter 2.x, Flutter 1.x
Demo Urlhttps://htmldesigntemplates.com/apk/digital_hr_offline.apk
Mobile Files IncludedDart, YAML, .plist

Categories

MobileFlutterFull Applications

Tags

attendancecheck incheck outdaily Attendanceface idfacial recognitiongoogle ml kitlocalmachine learningofflineoffline attendanceSmart Attendance

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