This paper addresses the problem of improving the accuracy and objectivity of meat quality assessment. An approach to automated product evaluation is presented, based on the integration of a computer vision system (CVS) and deep learning methods. A convolutional neural network VGG-16, pre-trained on the large-scale ImageNet dataset, was employed to effectively implement transfer learning. The processes of data preprocessing and the architecture of the applied neural network are described. The results of training and validation demonstrate high classification accuracy of meat samples by the criterion “fresh/spoiled.” The potential of the proposed approach for automating quality control in the meat industry and reducing the influence of subjective factors is emphasized.

Keywords: computer vision, deep learning, convolutional neural network, transfer learning, meat quality assessment, process automation, image classification, automated quality control

This article explores the development and implementation of an intelligent chatbot for information support for university staff and students. The solution is integrated into a unified personal account and is based on the locally deployed Gemma language model, the n8n automation platform, and the Supabase vector database. The design methodology, technology comparison, system architecture, implementation process, and testing results are described. Implementation of the system enabled the automation of 85% of routine queries, reduced the average response time to 1.8–2.1 seconds, and increased user satisfaction to 4.58 out of 5. The study's results can be adapted for various automated educational systems, particularly for providing information support to operators in computer simulator training courses.

Keywords: intelligent chatbot, language models, artificial intelligence, information support, higher education, semantic search

The article analyzes modern threats to the information security of military personnel in the area of a special military operation, including methods of social engineering and open-source cyber espionage. Based on the systematization of real incidents, regulatory analysis and international experience, comprehensive measures are proposed to protect personal data and counter cyber threats, from technical solutions and digital hygiene protocols to organizational and legal mechanisms. The results of the study are aimed at increasing the awareness of personnel, reducing the influence of the human factor as the main vulnerability and forming a stable information security system in the field. The developed recommendations can be used in the training of military personnel, the improvement of charters and the introduction of cybersecurity standards in the Armed Forces of the Russian Federation.

Keywords: information security, military personnel, special military operation, personal data, cyber threats, digital hygiene, social engineering, cyber intelligence, communications security, military cybersecurity

The article examines aspects of the use of artificial intelligence in architectural and construction design. Building design is a complex and multi-factorial process that requires careful analysis of multiple parameters, including strength, functionality, environmental sustainability, energy efficiency, and regulatory compliance. In the context of globalization and rapid technological progress, there is a need for innovative approaches that can improve the quality of design solutions and reduce the time for their implementation. One of the promising areas in this area is the integration of artificial intelligence in the design of buildings and structures. Artificial intelligence is transforming the field of construction design, providing the following significant advantages, such as optimizing the design process, analyzing a large amount of data and improving the quality of design solutions, developing innovative concepts. Building design is a complex process involving strength, functionality, environmental friendliness, energy efficiency and compliance. In the context of globalization and technological progress, innovative approaches are needed. One promising solution is the integration of artificial intelligence, which optimizes the design process, analyzes large amounts of data and improves the quality of solutions. Artificial intelligence automates routine tasks such as drawing generation and load calculations, allowing architects to focus on creativity. It also validates design compliance, predicts design behavior under extreme conditions, and offers optimal materials, reducing costs and improving quality. Artificial intelligence opens up possibilities for creating innovative architectural solutions, including generative design and virtual visualization. He adapts projects to individual needs, improving comfort. The article provides an example of the use of artificial intelligence - a crack monitoring system in the buildings of the North Caucasus Federal University (Stavropol city). It analyzes images of defects using deep learning and computer vision, determining their parameters and causes. In the future, the system will be able to work with video materials in real time. The interpenetration of artificial intelligence and design processes is a dynamically developing and promising area with great potential for improving the quality of design solutions. However, for the successful introduction of artificial intelligence, it is necessary to take into account not only technical aspects, but also ethical and social issues related to its application. In the future, we can expect further development of artificial intelligence technologies in architecture and construction, which will lead to the creation of more sustainable, energy-efficient and innovative buildings that meet modern requirements and expectations of society. Application of artificial intelligence in architectural and construction design: prospects and challenges

Keywords: modular technology in construction, construction production, construction technologies, architecture, environment, module, frame buildings, ergonomics, volumetric modular design, modular construction

Rapid digitalization and the transition to flexible management methodologies pose fundamentally new challenges for IT project managers. Previously, classical planning schemes ensured the stability of processes, but today they are increasingly becoming vulnerable to chaotic requirements and staffing shortages in the industry. Paradoxically, technological progress, which generates these challenges, simultaneously offers tools to overcome them — intelligent assistants begin to play the role of strategic partners in decision-making. The central element of the study was an experiment on the integration of a cognitive assistant into the Timetta company's workflows. An analysis of the twelve-month implementation cycle revealed a curious pattern: the combination of generative language models with predictive analytics not only optimized routine operations, but also changed the very logic of interaction in teams. Automation of processing 63% of typical requests through NLP mechanisms freed up resources for solving creative tasks, which affected key metrics - reaction time was halved, and the employee loyalty index reached record levels. An unexpected discovery was the "synergy zone" between artificial and human intelligence. Contrary to the expectations of skeptics, algorithms have not replaced managers, but have become a kind of "cognitive enhancer." Dynamic dashboards and scenario risk modeling have transformed not so much the processes as the thinking of project participants. However, the success of this collaboration turned out to be fragile – the efficiency of the system dropped sharply when trying to completely replace specialists, which underscores the importance of balance in hybrid management models. The practical results of the research raise new questions for the community. How can algorithms be customized to suit the cultural characteristics of the teams? What ethical framework should be established for AI intermediaries in conflict situations? The answers to these challenges will be crucial for the next stage of the evolution of project management, where technological power will not be a competitor, but a continuation of human expertise.

Keywords: organizational management, software projects, intelligent decision support system, knowledge management, ontology, artificial intelligence, risk management, predictive analytics, resource allocation, flexible management

Based on the conducted research, an analysis was conducted of changes in the duration of spring and autumn thaws for the Republic of Karelia, taking into account the characteristics of the roadbed soil, the duration of the frost period, the location of the region, and average monthly air temperatures for the period 2019-2023. Recommendations are provided based on the obtained results.

Keywords: spring thaw, autumn thaw, depth of soil freezing, highways, operation, construction of highways, regions of the Far North