Middle East Journal of Applied Science & Technology (MEJAST) Volume 8, Issue 2, Pages 89-99, April-June 2025 ISSN: 2582-0974 [89] Living Smart: AI-Based Urban Assistance Systems for Sustainable Wellbeing in Small Cities Nayyar Ahmed Khan 1* & Danish Ahamad 2 1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Riyadh, Saudi Arabia. 2 Computer Engineer, Atheeb Integrated Solutions Company for Technologies (AISCT), Saudi Arabia. Corresponding Author (Nayyar Ahmed Khan) Email: nayyar@su.edu.sa * DOI: https://doi.org/10.46431/MEJAST.2025.8210 Copyright © 2025 Nayyar Ahmed Khan & Danish Ahamad. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Article Received: 18 April 2025 Article Accepted: 23 June 2025 Article Published: 28 June 2025 ░ 1. Introduction The current systems designed to assist people in unfamiliar cities are often inadequately equipped to provide the level of support needed. While commonly used applications like digital maps can display marked locations and basic details, they fall short in delivering real-time, practical information. For example, users often struggle to determine whether a specific shop or service center is currently open or operational. The inclusion of real-time availability status for service providers and businesses within the system would significantly enhance its usefulness. To reach a particular place, this user must struggle a lot to find out the location of a particular service center. 1.1. Problem Description In today’s urban environments, the existing systems that provide support and assistance to people in unfamiliar cities are often disorganized and lack efficiency. Although cities may have numerous individuals offering various services—ranging from basic needs like food and transportation to more specialized help such as medical aid or mechanical repairs—the availability and real-time status of these service providers are typically unknown [1]. The current infrastructure does not effectively inform users whether someone is available to assist at a given time or location, making it difficult to connect those in need with those ready to help. Moreover, a recurring issue is that people who are technically online or nearby might not appear as available on existing platforms, or worse, may be visible but unresponsive. This gap leads to uncertainty and inefficiency in accessing timely assistance. Even well-meaning volunteers or service groups offering support for a noble cause often struggle to identify where exactly their help is needed. This disconnection between the service provider and the seeker creates unnecessary delays and frustration. There is also the challenge of trust —travelers or new city ABSTRACT It is commonly observed that when traveling to an unfamiliar city, it can often be challenging to find help when needed. Whet her it’s locating markets, food outlets, pharmacies, hospitals, workshops, or other essential services, travelers require a reliable guide that is easily accessible. While applications like digital maps are helpful to some extent, they often fail to provide timely, location-specific information. Moreover, these tools are typically not directly connected to service providers, making it difficult to identify and contact the right person or place for assistance. As a result, finding accurate and immediate information in a particular location becomes a cumbersome task. To address this issue, there is a clear need for a solution that connects users directly with available services in real time. The system we propose is designed to support access to a wide range of necessary services that visitors frequently require when exploring a new city. This platform aims to make the process of finding and utilizing such services seamless, efficient, and user-friendly. Keywords: Artificial Intelligence; Machine Learning; Algorithms; Design; Development; Unified Modelling Language; Software Engineering; Digitization; Platforms; Transformation; Software.