AI-Powered Smart Campus Navigation and Management Framework

Authors

  • A. B. Gadicha Associate Professor and HoD, Department of Artificial Intelligence and Data Science, P. R Pote College of Engineering and Management, Amravati, Maharashtra, India
  • Swaraj Dhanade Undergraduate Student, Department of Artificial Intelligence and Data Science, P. R Pote College of Engineering and Management, Amravati, Maharashtra, India
  • Vinay Raghuwanshi Undergraduate Student, Department of Artificial Intelligence and Data Science, P. R Pote College of Engineering and Management, Amravati, Maharashtra, India
  • Sujal Nichat Undergraduate Student, Department of Artificial Intelligence and Data Science, P. R Pote College of Engineering and Management, Amravati, Maharashtra, India
  • Khushi Korde Undergraduate Student, Department of Artificial Intelligence and Data Science, P. R Pote College of Engineering and Management, Amravati, Maharashtra, India
  • Gayatri Ladhe Undergraduate Student, Department of Artificial Intelligence and Data Science, P. R Pote College of Engineering and Management, Amravati, Maharashtra, India

Keywords:

API integration, AR navigation, BLE beacons, Cloud connectivity, Digital mapping, Indoor navigation, IoT, QR localization, Smart campus

Abstract

Smart campuses represent the next evolution of digital education infrastructure, integrating technologies such as the Internet of Things (IoT), mobile computing, and artificial intelligence to enhance accessibility and user experience. CampusMate is a hybrid navigation framework designed to address the challenges of indoor and outdoor wayfinding within academic environments. This review explores its system architecture, integration of QR-based localization, BLE-assisted proximity detection, and API-driven data exchange for real-time navigation. Advances in cloud connectivity, geospatial mapping, and accessibility optimization enable seamless interaction across multiple devices. The study also examines interoperability, scalability, and data management within smart campus ecosystems. Future prospects include AR-assisted navigation, AI-based route prediction, and unified campus resource management, positioning CampusMate as a core enabler of next-generation smart campus automation.

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Published

2025-12-11