Smart Digital Twin: An interactive AI Campus Plateform

With the expansion of smart campus technologies, there is now an increasing demand for intelligent and interactive platforms that can make navigating and managing college campuses easier, faster, and more intuitive. In this paper, we present Smart Digital Twin: An Interactive AI Campus Platform, which is an online, digital representation of a campus that incorporates interactive 3D visualization, artificial intelligence, smart navigation, and campus services, The system allows users to explore college buildings and facilities within a virtual environment, receive assistance from an AI assistant through text and voice interaction, and find their way to classrooms, laboratories, and other services thanks to smart indoor and outdoor navigation, The architecture of the platform consists of a React frontend, a Node.js and Express backend, AI services provided via the OpenAI GPT API, MongoDB Atlas for storing data, and mapping services like Mapbox or Leaflet. It uses JSON Web Tokens (JWT) for authentization and offers cloud storage and media services for deploying the platform. This system provides a comprehensive solution by bringing together campus visualization, AI assistant services, navigation and information, aiming to minimize fragmented information access, manual inquiries, facilitate wayfinding, and enhance the overall campus experience. Moreover, its modularity allows for the future integration of IoT data, live occupancy information, smart classrooms, multilingual features, predictive analytics, and emergency workflows.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-02
DOI
https://doi.org/10.5281/zenodo.23878007
Primary Topic
Engineering Education and Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Digital Twin: An interactive AI Campus Plateform

Yuvan Shankar, K. Sundara Velrani, Priyadarshini R, Lisha S et al.
1 links
Zenodo (CERN European Organization for Nuclear Research)
Engineering Education and Technology
article

Smart Digital Twin: An interactive AI Campus Plateform

Yuvan Shankar, K. Sundara Velrani, Priyadarshini R, Lisha S, Sriharcini C, Nithyavani Dineshkumar
article en

Abstract

With the expansion of smart campus technologies, there is now an increasing demand for intelligent and interactive platforms that can make navigating and managing college campuses easier, faster, and more intuitive. In this paper, we present Smart Digital Twin: An Interactive AI Campus Platform, which is an online, digital representation of a campus that incorporates interactive 3D visualization, artificial intelligence, smart navigation, and campus services, The system allows users to explore college buildings and facilities within a virtual environment, receive assistance from an AI assistant through text and voice interaction, and find their way to classrooms, laboratories, and other services thanks to smart indoor and outdoor navigation, The architecture of the platform consists of a React frontend, a Node.js and Express backend, AI services provided via the OpenAI GPT API, MongoDB Atlas for storing data, and mapping services like Mapbox or Leaflet. It uses JSON Web Tokens (JWT) for authentization and offers cloud storage and media services for deploying the platform. This system provides a comprehensive solution by bringing together campus visualization, AI assistant services, navigation and information, aiming to minimize fragmented information access, manual inquiries, facilitate wayfinding, and enhance the overall campus experience. Moreover, its modularity allows for the future integration of IoT data, live occupancy information, smart classrooms, multilingual features, predictive analytics, and emergency workflows.

Zenodo (CERN European Organization for Nuclear Research)
Sathyabama Institute of Science and Technology (IN)
Industry, innovation and infrastructure, Quality education
Openalex Percentile: Top 10%
Engineering Education and Technology
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Smart Digital Twin: An interactive AI Campus Plateform — Yuvan Shankar, K. Sundara Velrani, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS