Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

<Previous Article In Volume
Next Article In Volume>

Smart City Oriented Engagement Platforms Utilizing Collaborative Artificial Intelligence Systems Internet of Things and Augmented Reality for Urban Transformation

Authors
A. Swathi1, *, C. Raghavendra2, K. Karthick3, P. Balakrishnan4, Sivakumar Ponnusamy5, R. Revathi6
1Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, Telangana, India
2Associate Professor, Department of Cyber Security, CVR College of Engineering, Hyderabad, Telangana, India
3Associate Professor, Department of IT, Sona College of Technology, Salem, 636005, Tamil Nadu, India
4Professor, Department of Electrical and Electronics Engineering, J.J. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu, India
5Professor, Department of Computer Science and Engineering, K.S.R. College of Engineering, Tiruchengode, Namakkal, Tamil Nadu, India
6Assistant Professor, Department of EEE, New Prince Shri Bhavani College of Engineering and Technology, Chennai, 600073, Tamil Nadu, India
*Corresponding author. Email: swathia@mlrit.ac.in
Corresponding Author
A. Swathi
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_87How to use a DOI?
Keywords
Smart Cities; Artificial Intelligence; Internet of Things; Augmented Reality; Predictive Analytics; Digital Twins; Urban Transformation; Citizen Engagement; Explainable AI; Smart Governance
Abstract

The transient nature of urban settings is continuously linking up the remoteness of lives and unfortunately, there is no limit to this fact as such technologies as Artificial Intelligence (AI), the Internet of Things (IoT), and Augmented Reality (AR) will be significantly combined for ensuring interactions, governance, and prediction in smart cities. In this article, we present a first-of-its-kind Smart City Oriented Engagement Platform (SCOEP), which uses collaborative-AI systems, IoT real-time data, and AR-oriented participatory planning aimed toward revolutionizing urban ecosystems. In contrast to isolated use cases examined in previous studies, our work highlights a holistic, scalable, and adaptable framework that provides a cohesive digital ecosystem interlinking citizens, policymakers, and urban services. It also utilises AI-powered predictive analytics to offer more security, reduce generalisation, and realise real-time decisions, combining XAI methodologies with privacy-preserving IoT networks. Moreover, the infusion of AI-augmented digital twins offers dynamic modeling for better urban design and infrastructure planning. This research helps to develop a future-oriented model for smart cities that embraces citizen involvement, sustainable development, and intelligent city evolution through responsive support to ethical issues, regional relevance, and evidence-based regulation and policy-making.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series
Advances in Computer Science Research
Publication Date
23 May 2025
ISBN
978-94-6463-718-2
ISSN
2352-538X
DOI
10.2991/978-94-6463-718-2_87How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - A. Swathi
AU  - C. Raghavendra
AU  - K. Karthick
AU  - P. Balakrishnan
AU  - Sivakumar Ponnusamy
AU  - R. Revathi
PY  - 2025
DA  - 2025/05/23
TI  - Smart City Oriented Engagement Platforms Utilizing Collaborative Artificial Intelligence Systems Internet of Things and Augmented Reality for Urban Transformation
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 1030
EP  - 1043
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_87
DO  - 10.2991/978-94-6463-718-2_87
ID  - Swathi2025
ER  -