SMART UTIL: Utility Bill Management and Usage Analysis for Sustainable Lifestyle

In light of the escalating demand for efficient resource management and user empowerment, this research project addresses a pressing challenge in Sri Lanka by harnessing the potential of mobile and IoT technologies. The primary objective is to develop a smartphone application that revolutionizes use...

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Veröffentlicht in:International Conference on Advancements in Computing (Online) S. 322 - 327
Hauptverfasser: Rajapaksha, Sandaruwan, Perera, Lihini, Amanda, Nethmi, Liyanage, Mihiranga, Samarakoon, Uthpala, Amarasena, Nelum
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 07.12.2023
Schlagworte:
arduino microcontrollers
data optimization
energy monitoring sensors
financial management
internet of Things (IoT)
machine learning algorithms
mobile application
Monitoring
Pressing
Real-time systems
Resource management
Sensors
Software
sustainable resource utilization
User experience
water sensors
ISSN:2837-5424
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:In light of the escalating demand for efficient resource management and user empowerment, this research project addresses a pressing challenge in Sri Lanka by harnessing the potential of mobile and IoT technologies. The primary objective is to develop a smartphone application that revolutionizes user experience and consumer control across diverse businesses. By seamlessly integrating real-time data collection through energy monitoring sensors and Arduino micro controllers, the app encourages energy-saving behaviors among users. A user-friendly interface provides easy access to consumption patterns, empowering homeowners to monitor daily water usage, detect leaks, and receive alerts for anomalous trends using strategically positioned water flow sensors. The software not only offers personalized recommendations for minimizing data consumption but also introduces a Data Pool feature that facilitates the purchase and sale of unused data, thereby addressing underutilized data bundles. Employing advanced machine learning algorithms, the application anticipates users' future data requirements, optimizing data utilization. Moreover, the software assists in effective financial management by categorizing monthly expenditures, issuing real-time alerts, and enabling automated payment mechanisms to prevent late fees. By fostering efficient resource management, this project aspires to empower users with the tools for sustainable and responsible resource utilization, transcending traditional boundaries.
ISSN:2837-5424
DOI:10.1109/ICAC60630.2023.10417529