Lost and Locate Centralized Smart Recovery System

Abstract

The loss and misplacement of personal and valuable items is a frequent problem in both urban and rural environments, often leading to stress, time loss, and financial impact. Traditional methods of locating lost items such as manual inquiries, notice boards, and social media posts are inefficient, unstructured, and lack a centralized tracking mechanism. These limitations reduce the probability of successful recovery and delay the identification of matching lost and found reports. The system enables users to report lost items, register found items, and track recovery status in real time. Advanced data processing and matching techniques are applied to analyze item attributes such as category, location, date, and description to improve identification accuracy. The application is developed and simulated at an early design stage to evaluate system performance, data flow, and reliability under different user scenarios. Multiple data models and storage strategies are analyzed to optimize system efficiency, security, and scalability.