employee from 01.01.2006 to 01.01.2026
Yelabuga, Kazan, Russian Federation
student
Katiysh, Kazan, Russian Federation
UDC 330.5
The article presents the development of the "SmartHome" software application, aimed at bridging the key gap between the technical capabilities of the Internet of Things (IoT) and the economic objectives of households. Unlike traditional smart home solutions focused on automation and comfort, the proposed platform is positioned as a financial management tool. Based on a modular architecture and the application of machine learning algorithms for time series analysis, the system integrates disparate devices, transforming data on energy and water consumption into personalized economic recommendations and automated savings scenarios. The results of modeling and pilot testing demonstrate the potential to reduce utility costs by 12–25% through adaptive climate control and optimization of household appliance load. The article discusses how the platform increases cost transparency, shifting user behavior from passive consumption to active resource management, and explores prospects for its integration into the broader context of the household digital economy. The development serves as an example of the convergence of technology and economics, transforming the smart home from a "luxury item" into a practical tool for enhancing financial resilience.
smart home, Internet of Things (IoT), home economics, household management, cost optimization, energy saving, machine learning, financial resilience, digitalization, software application
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