• I. Solovei Kharkiv National University of Radio Electronics
  • O. Vorochek Kharkiv National University of Radio Electronics



software system, item search, location, lost property office


The article presents an approach to developing a software system to facilitate the efficient search for lost items. As part of the study, the authors designed an integrated system that includes server, web, and mobile versions, which provides broad opportunities for identifying and returning lost property.

In large urban agglomerations, the loss of personal items becomes a common problem. Existing solutions are often limited to preventive measures and do not provide sufficient support after the item’s loss. The lack of an effective feedback and identification system complicates the lost property search process.

The developed system uses modern technologies such as Django for the backend, JavaScript for the web interface, and Flutter for creating cross-platform mobile applications. This approach makes it possible to expand the list of system users to the maximum extent. Django, a capable web framework, facilitates reliable data management and integration with various interfaces.

The study involved the development of a database to provide storage and processing of all the necessary information. Using REST API ensured efficient interaction between the system’s server, web, and mobile parts. This approach allows different system components to exchange data in a unified format.

The system lets users register individuals and legal entities, which makes it possible to use it in a wide range of public spaces. It helps to effectively search for and return lost items on the street and in public places, including restaurants, theatres, and transport hubs where lost items often occur.

The software system created in this study addresses the critical problem of losing personal items. Widespread use of this system across various sectors could dramatically improve managing lost and found operations, turning a typically disorganised and ineffective process into an efficient, technology-driven one. The system’s implementation has the potential to significantly reduce the time and resources spent on searching for lost property and increase the productivity of lost property offices.

Author Biographies

I. Solovei, Kharkiv National University of Radio Electronics

Student of the Faculty of Computer Science

O. Vorochek, Kharkiv National University of Radio Electronics

Candidate of Technical Sciences, Associate Professor at the Department of Software Engineering


Chipolo. (2020). Lost And Missing Items: What We Lose The Most And Where We Lose It.

Lostings. (2023). Lost and Found Statistics, Trends & Facts 2023.

Ahmad, S., Ziaullah, M., Rauniyar, L., Su, M., & Zhang, Y. (2015). How Does Matter Lost and Misplace Items Issue and Its Technological Solutions in 2015 – A Review Study. IOSR Journal of Business and Management (IOSR-JBM), 17(4), 79–84.

Sharma, H. K., Choudhury, T., Kandwal, A., Mor, A., Sharma, P., Ahmed, M. E., & Ahlawat, P. (2021). Real-Time Tracking System for Object Tracking Using Internet of Things (IoT). In J. M. R. S. Tavares, P. Dutta, S. Dutta, & D. Samanta (Eds.), Cyber Intelligence and Information Retrieval (pp. 497–505). Springer Nature.

Howarth, J. (2024, June 14). iPhone vs Android User Stats (2024 Data). Exploding Topics.

Windmill, E. (2020). Flutter in Action. Manning Publications.

Biehl, M. (2016). RESTful API Design. CreateSpace Independent Publishing Platform.

Forcier, J., Bissex, P., & Chun, W. (2008). Python Web Development with Django. Addison-Wesley Professional.

Alhir, S. S. (2003). Learning UML. O’Reilly Media, Inc.

Hunt, V. D., Puglia, A., & Puglia, M. (2007). RFID – A Guide to Radio Frequency Identification. John Wiley & Sons, Inc.



How to Cite

Solovei, I., & Vorochek, O. (2024). DEVELOPMENT OF A SOFTWARE SYSTEM FOR SEARCHING FOR LOST ITEMS. Municipal Economy of Cities, 3(184), 2–9.