The design of medical facilities requires careful coordination between different disciplines, especially when developing the section "Technological Solutions" (TS), which describes functional processes, equipment layout and compliance with sanitary standards. A common problem in this process is the lack of ready-made 3D families for specialized medical equipment in BIM systems such as Autodesk Revit. The purpose of this study is to develop an algorithm for creating equipment families based on a single image, which will eliminate time and resource constraints during manual modeling.
To achieve this goal, the study examined modern design methods for TS and MEP sections, analyzed existing tools for creating families, and tested five neural network-based web applications capable of generating 3D models from 2D images. The proposed algorithm includes creating a 3D model based on images using artificial intelligence web tools, preprocessing the model in Autodesk 3ds Max, and importing the final geometry into a Revit family template.
The algorithm was tested on a real example, an anaesthetic gas supply system, demonstrating the feasibility and effectiveness of the approach. Hyper 3D Rodin has been rated as the most effective tool for generation. The study concludes that integrating artificial intelligence into BIM workflows can significantly streamline the development of unique equipment families, reducing manual labor and improving project coordination.

Keywords: Revit family of equipment, medical equipment, neural network generation, 3D geometry of equipment, BIM, technological solutions

The paper proposes the development of a proprietary solution to increase the accuracy and completeness of vulnerability detection in the client part of Android applications. During the work, the main current threats for Android applications were identified. The dynamic analysis method was chosen as the main method of application research, which allows testing the security of an application during its operation, thereby simulating the actions of an attacker. A vulnerability scanner for the client part of Android applications was developed, which was based on both dynamic and static analysis. The results of a full test of the developed software are presented, during which various security problems were detected. The developed software can be implemented in the organization's secure software development lifecycle processes to enhance the integrity, confidentiality, and accessibility of user data.

Keywords: Android app security, dynamic analysis, static analysis, vulnerability detection, security scanner