Volume 13, Issue 4 · IJARST · ISSN 2319-1783 / 2320-1126

Block-Chain Based Work Place Management System Using Face-Recognition and Geo-Location

Block-Chain Based Work Place Management System Using Face-Recognition and Geo-Location is an open-access, peer-reviewed research paper by Mohammed Zainul Hussain1, Mohammed Arbaaz Saber2, Shraddha Raikote3, Priyanshu Pratik4, published in Volume 13, Issue 4 of the International Journal of Advanced Research in Science and Technology (IJARST), a UGC-approved journal (Print ISSN 2319-1783, Online ISSN 2320-1126).

Author

Mohammed Zainul Hussain1, Mohammed Arbaaz Saber2, Shraddha Raikote3, Priyanshu Pratik4

Abstract

This research paper introduces a cutting-edge solution for Work Place Management systems by integrating face recognition, Geo-fencing, and block-chain technologies. The research paper presents a cross-platform mobile application using Flutter, providing accessibility across diverse user bases. The study addresses the limitations of traditional Work place tracking methods and aims to enhance accuracy, security, and transparency. Emphasizing the synergistic benefits of the Block-Chain, Face-Recognition, Geo-Fence technologies. The paper concludes with a summary of key contributions and suggestions for future research, highlighting the significance of this innovative approach to Work place management.

DOI

https://doi.org/10.62226/ijarst20241349

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How do you cite this paper?

Mohammed Zainul Hussain1, Mohammed Arbaaz Saber2, Shraddha Raikote3, Priyanshu Pratik4 — “Block-Chain Based Work Place Management System Using Face-Recognition and Geo-Location.” International Journal of Advanced Research in Science and Technology (IJARST), Volume 13, Issue 4. DOI: https://doi.org/10.62226/ijarst20241349.

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