Lost And Found Portal for Campus

Managing lost and found items within large educational campuses often becomes inefficient due to manual tracking, limited communication, and lack of centralized record-keeping. The proposed Lost and Found Portal is a lightweight, web-based solution developed to overcome these challenges by offering a unified, automated, and user-friendly system for item reporting and recovery. Built using modern web technologies and supported by a relational database, the portal enables users to register, upload item details, and search for matches using both text and image data. The system integrates AI-based modules for object similarity detection and natural language comparison to improve matching accuracy. Designed with modular components, it allows easy customization of search filters, data validation rules, and administrative access controls. The portal operates efficiently on minimal system resources and can be hosted on local or cloud-based servers, ensuring accessibility and scalability. Its open architecture enables seamless integration with campus authentication systems and notification APIs for instant alerts. With a clean, intuitive interface and simple configuration setup, the platform suits both small and large educational institutions aiming to digitalize their lost-and-found process. Experimental implementation within a university campus demonstrated significant improvement in retrieval rates and reduction in manual coordination. In conclusion, this project delivers an efficient, secure, and scalable framework for managing lost and found operations, ensuring convenience, transparency, and enhanced user experience for campus communities.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-28
DOI
https://doi.org/10.5281/zenodo.17745382
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Lost And Found Portal for Campus

Zenodo (CERN European Organization for Nuclear Research)
Web Data Mining and Analysis
article

Lost And Found Portal for Campus

article en

Abstract

Managing lost and found items within large educational campuses often becomes inefficient due to manual tracking, limited communication, and lack of centralized record-keeping. The proposed Lost and Found Portal is a lightweight, web-based solution developed to overcome these challenges by offering a unified, automated, and user-friendly system for item reporting and recovery. Built using modern web technologies and supported by a relational database, the portal enables users to register, upload item details, and search for matches using both text and image data. The system integrates AI-based modules for object similarity detection and natural language comparison to improve matching accuracy. Designed with modular components, it allows easy customization of search filters, data validation rules, and administrative access controls. The portal operates efficiently on minimal system resources and can be hosted on local or cloud-based servers, ensuring accessibility and scalability. Its open architecture enables seamless integration with campus authentication systems and notification APIs for instant alerts. With a clean, intuitive interface and simple configuration setup, the platform suits both small and large educational institutions aiming to digitalize their lost-and-found process. Experimental implementation within a university campus demonstrated significant improvement in retrieval rates and reduction in manual coordination. In conclusion, this project delivers an efficient, secure, and scalable framework for managing lost and found operations, ensuring convenience, transparency, and enhanced user experience for campus communities.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 30%
Web Data Mining and Analysis
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