Custom AI Voice Assistant for Campus Navigation

DOI

No DOI

Published In

Volume 5, Issue 2 (2026)

Published Online

May-August 2026

Pages

94-100

Article Type

Original Article

Check for updates

No DOI available for cross-reference

In the era of digital transformation, educational institutions require intelligent systems to provide real-time, personalized, and accessible campus services. Traditional methods such as notice boards and static websites lack interactivity and multilingual support. This paper proposes a Custom AI Voice Assistant for Campus Navigation that integrates Artificial Intelligence (AI), Natural Language Processing (NLP), and Automatic Speech Recognition (ASR) to enable natural voice-based interaction. The system utilizes Gemini AI APIs for intent recognition and context-aware response generation, supporting both English and Kannada to ensure inclusivity. A role-based access mechanism allows administrators, faculty, students, and guests to retrieve relevant academic and campus information securely. Deployed on AWS cloud services, the system ensures scalability, reliability, and real-time data synchronization. Future enhancements include indoor and outdoor navigation using GPS and wireless technologies for step-by-step guidance. The proposed solution enhances accessibility and contributes toward the development of a smart, automated, and interactive campus ecosystem. Furthermore, the system promotes data-driven decision- making, improved institutional communication, and enhanced user engagement through AI-powered analytics and continuous learning mechanisms. By bridging the gap between users and institutional resources, the proposed assistant lays the foundation for an intelligent, connected, and sustainable smart campus environment capable of adapting to evolving technological and academic needs.