Authors

Sumit D. Jadhav

Modern Education Society's D. G. Ruparel College of Arts, Science and Commerce Matunga West, Mumbai, India

Ankitha Sharma

Modern Education Society's D. G. Ruparel College of Arts, Science and Commerce Matunga West, Mumbai, India

Abstract

Efficient hostel administration is critical for ensuring student safety, resource optimization, and operational transparency within educational institutions. Traditional hostel management systems often rely on manual record-keeping and fragmented digital tools, leading to inefficiencies, data inconsistency, and limited real-time monitoring capabilities. This research presents the development and field assessment of an Intelligent Hostel Management and Monitoring Platform designed to streamline administrative processes and enhance decision-making through automation and data analytics. The proposed system integrates a centralized web-based architecture with artificial intelligence (AI) modules for predictive occupancy analysis, automated attendance tracking, complaint management, and resource utilization monitoring. The platform incorporates secure authentication mechanisms, real-time notification services, and dashboard-based visualization tools to provide actionable insights for administrators. Machine learning algorithms are employed to analyze historical occupancy and maintenance data, enabling proactive facility management and improved allocation of hostel resources. The system was deployed in a real hostel environment for pilot testing, where its performance was evaluated based on usability, response time, data accuracy, and administrative efficiency. Field results indicate significant improvements in operational transparency, reduction in manual workload, and faster grievance resolution compared to conventional methods. Additionally, user feedback demonstrated high satisfaction levels regarding accessibility and system reliability. The findings confirm that the proposed intelligent platform enhances hostel management efficiency while ensuring scalability and adaptability for smart campus ecosystems. The study highlights the potential of AI-driven administrative systems in modern educational infrastructures and provides a foundation for further integration with IoT-based monitoring and smart access control technologies.

Keywords

Artificial Intelligence (AI); Hostel Management System; Smart Campus; Predictive Analytics; Machine Learning; Web-Based Monitoring Platform; Resource Optimization; Occupancy Prediction; Complaint Management Automation; Educational Administration Systems; Data Analytics; Campus Digital Transformation; IoT Integration; Decision Support Systems

Citation of this Article

Sumit D. Jadhav, & Ankitha Sharma. (2026). Development and Field Assessment of an Intelligent Hostel Management and Monitoring Platform. Current Journal of Engineering and Science Research. 3(1), 29-32. Article DOI: https://doi.org/10.47001/CJESR/2026.301005  

Licence Copyright (c) 2026 Current Journal of Engineering and Science Research. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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