Paper Title
Smart Attendance System
Article Identifiers
Authors
Milind Rane , Sanskar Gundecha , Om Gujarathi , Asawari Jadhav , Sankalp Hatewar,Jayesh Chaudhari
Keywords
image processing, smart attendance, face recognition
Abstract
Traditional attendance tracking systems are often time-consuming, inefficient, and reliant on paperwork, leading to inaccuracies and administrative burdens. This research paper presents a novel mobile application developed using Flutter that utilizes location-based tracking and biometrics for automated attendance marking. The existing systems for attendance tracking typically involve manual processes, such as paper-based sign-in sheets or barcode scanning. These methods are prone to errors, require significant administrative efforts for data entry, and lack real-time monitoring. Additionally, traditional systems struggle to handle simultaneous attendance marking for multiple students, leading to delays and inefficiencies. To address these challenges, we developed a mobile application using Flutter, a cross-platform framework, which allows seamless integration across various devices and operating systems. Our system leverages the mobile device's location services and biometric authentication capabilities to automate the attendance tracking process. The application utilizes Node.js to develop robust APIs that facilitate communication between the frontend and a MongoDB database, ensuring efficient storage and retrieval of attendance data. The integration of location-based services enables real-time tracking and authentication, providing accurate attendance records for each student. Through comprehensive testing and evaluation, our system demonstrated enhanced efficiency and accuracy compared to traditional attendance tracking systems. Simultaneous attendance marking for multiple students became feasible, reducing the time required for data entry and minimizing administrative efforts. The integration of biometrics ensures secure authentication, eliminating the possibility of proxy attendance.
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How To Cite (APA)
Milind Rane , Sanskar Gundecha, Om Gujarathi, Asawari Jadhav, & Sankalp Hatewar,Jayesh Chaudhari (May-2023). Smart Attendance System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), f234-f238. https://ijnrd.org/papers/IJNRD2305543.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : f234-f238
Other Publication Details
Paper Reg. ID: IJNRD_196177
Published Paper Id: IJNRD2305543
Downloads: 000121997
Research Area: Engineering
Country: -, -, -
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305543.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305543
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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