International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 2 April-June 2026 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

Lost and Found Management System

Author(s) Mr. Shivam Karn, Ms. Anjali Makwana, Ms. Majolika Singh, Ms. Tanvi Suryawanshi, Mr. Milan Chaudhary, Prof. Abhirup Sinha
Country India
Abstract Losing something valuable can be stressful, and traditional lost-and-found systems are often slow and unorganized. The Lost & Found Management System (LFMS) is a smart web-based solution designed to make reporting and recovering items faster and easier. It is built using Spring Boot (backend), React.js (frontend), and MongoDB (database). Users can report lost or found items by filling in simple details like category, description, date, and location. The system uses intelligent matching techniques, including fuzzy search and AI-based logic, to identify possible matches between lost and found reports. It also provides secure login through JWT authentication and sends email notifications when a potential match is found. To make the process even more efficient, features like QR/RFID tagging and location-based search can be added. The main goal of LFMS is to reduce recovery time, improve return rates, and create a user-friendly platform that encourages people to help each other. With future enhancements like blockchain verification and mobile app support, LFMS can become a reliable solution for places like colleges, malls, airports, and other public spaces.
Keywords Lost and Found Management, Matching Algorithm, Web Application, RFID, QR Code, AI-based Search, User Authentication, Item Recovery System
Field Computer Applications
Published In Volume 17, Issue 2, April-June 2026
Published On 2026-04-12

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