Dwell - A Smart Building Management Application
Smart building management applications are becoming crucial for improving security, convenience, and efficiency as the need for intelligent infrastructure grows. The design and development of a novel smart building management application that combines real-time monitoring, service administration, and room booking via an easy-to-use web-based platform is presented in this paper. Utilizing contemporary web technologies, the system uses HTML and CSS to provide a dynamic and easy-to-use interface, while Firebase offers cloud hosting, secure authentication, and real-time database synchronization. In contrast to traditional solutions, our program offers a smooth automation framework that combines AI-driven service recommendations, predictive maintenance warnings, and IoT-based room controls to maximize resource usage and improve user experience. Through customer feedback and real-world simulations, the system’s efficacy has been assessed, showing a 30% decrease in service response time and increased operational efficiency. By minimizing energy use and automating necessary services, the suggested approach not only simplifies hospitality and residential administration but also advances the larger goal of smart, sustainable buildings. The need for effective, automated, and user-friendly building management systems is growing as the idea of smart infrastructure gets acceptance globally. In order to transform the way that residential and commercial spaces manage reservations, services, and real-time facility monitoring, this paper suggests a Smart Building Management Application. With cloud-based hosting, secure authentication, and real-time database synchronization, Firebase offers a scalable back-end.
Authors
- N. Karthik
- P. Velmurugadass
- Devendra Veparala
- Yalamakuru Navya
- Yogeswari Murugan
- Mallangi Mounika
Institutions
- Kalasalingam Academy of Research and Education (IN)
Publication Details
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1109/ictest64710.2025.11042377
- Primary Topic
- Wireless Sensor Networks for Data Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00