Year: 2025
Type: article
Abstract: This research explores the development and implementation of an AI-based Smart Utility Management System that allows users to book home services such as cleaning, electrical, plumbing, and more. The system integrates AI-powered features like personalized user experiences, chatbots, predictive analytics, image recognition, and smart scheduling to enhance efficiency and user satisfaction. Additionally, it incorporates non-AI features like user dashboards, loyalty programs, multilingual support, and service provider profiles to improve accessibility and engagement. This paper outlines the system’s methodology, architecture, AI models, and evaluation metrics. The results demonstrate that AI-driven home service management improves user experience, service efficiency, and business scalability. Challenges such as data privacy, AI bias, and service provider optimization are discussed, along with future directions for AI-powered home service platforms.
Author: Nikita Ishwar Dhanvijay
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408173997