Lost Item Retrevial System

Abstract

The Lost Item Retrieval System is a web-based platform designed to streamline the process of locating, reporting, and recovering lost and found items in environments such as colleges, offices, and libraries. Traditional manual tracking methods often lead to inefficiencies, errors, and data loss. This system replaces those with a centralized, real-time digital solution that enables users to report lost or found items, search through an integrated database, receive real-time notifications, and validate claims through a secure verification module. Key components include a smart matching algorithm, admin dashboard, and user-friendly interfaces that enhance usability and reliability. Built using technologies like HTML, CSS, Next.js, and Firebase, the system ensures scalability, security, and fast performance. Future developments aim to incorporate IoT, AI-based image recognition, mobile apps, and blockchain to further improve tracking accuracy and data integrity. This project highlights the potential of modern technology in solving common challenges. Keywords: Intrusion Detection System (IDS), denial-of-service (DoS).