Lost and Found Item Recovery System

Abstract

The Lost and Found Item Recovery System is a secure web-based platform designed to facilitate efficient reporting, tracking, and recovery of lost materialistic items within specific zones. The system bridges the communication gap between citizens and administrative officers responsible for managing lost and found processes. By automating complaint registration, officer assignment, and item recovery workflows, the system ensures transparency, accountability, and real-time updates. Role-based access control allows users, officers, and administrators to interact securely while maintaining data integrity. This paper discusses the system’s architecture, methodology, implementation, and its potential contribution toward improving public service digitalization and e-governance efficiency.

Introduction

Traditional lost-and-found management in India relies on manual, paper-based systems, which are inefficient, slow, and prone to errors or data loss. To address these challenges, the Lost and Found Item Recovery System digitalizes the entire process, offering a unified web platform for complaint registration, verification, tracking, and resolution. Users can submit reports online, officers handle verification and matching, and administrators oversee operations to ensure coordination, security, and accountability.

Key features include web-based complaint management, Role-Based Access Control (RBAC) to segregate duties among users, officers, and admins, workflow automation for dynamic complaint routing, real-time notifications and tracking to keep users informed, and secure data management using Django ORM, encryption, and audit logs. By integrating these technologies, the system enhances transparency, efficiency, and reliability, reduces paperwork, fosters faster recovery of lost items, and aligns with citizen-centric digital governance initiatives.

Conclusion

This study presented a practical and accessible Web-Based Complaint and Lost & Found Management System designed to streamline user interaction, improve administrative efficiency, and ensure transparency in complaint and recovery processes. By integrating a dynamic web interface with a centralized database, the system enables users to register complaints or lost-item reports easily while allowing authorities to track, manage, and resolve them in real time. Unlike traditional manual reporting methods, the proposed platform emphasizes usability, scalability, and responsiveness, offering a user-friendly environment suitable for both institutional and public service applications. The system contributes to the growing field of digital governance and citizen service automation by reducing human errors, accelerating communication between users and authorities, and enabling data-driven decision-making for faster issue resolution. The web-based implementation ensures platform independence and easy accessibility from any device, promoting accountability and operational transparency. This fusion of web technology and systematic workflow bridges the gap between public needs and efficient service management, transforming routine administrative tasks into organized digital operations. Looking ahead, several promising directions can further enhance the system’s capabilities. First, implementing AI-based image recognition can help automatically match found items with reported cases, improving the accuracy and efficiency of identification. Second, adding multilingual support would make the system more inclusive and accessible to users from diverse linguistic backgrounds. Third, integrating with municipal or institutional service portals could create a unified management ecosystem for complaints, suggestions, and public feedback.

References

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Copyright

Copyright © 2025 Dr. Trupti Meshram, Yash Gahane, Yash Kose, Yash Mokaddam, Vishwas Pakmode, Utkarsh Tripathi, Vivek Jabhor. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.