The digital transformation of education in the Kyrgyz Republic at the same time, most general education schools face limited funding, outdated IT infrastructure and a shortage of qualified information security specialists, which complicates the development of a comprehensive system for protecting students’ and teachers’ personal data. This paper analyzes the main types of cyber threats specific to the school context, including phishing and social engineering, malware and ransomware, vulnerabilities of cloud-based learning platforms and Internet of Things devices, personal data leaks, dissemination of harmful digital content and cyberbullying. Special attention is paid to weaknesses of the regulatory framework for school cybersecurity in the Kyrgyz Republic, the lack of unified requirements for the use of digital educational platforms and the insufficient level of digital literacy among participants of the educational process. Building on theoretical approaches and the current practice of school digitalization, the article substantiates organizational, pedagogical and methodological measures aimed at improving the cybersecurity of the school information and educational environment. The paper proposes directions for integrating the basics of cyber hygiene and digital literacy into school curricula, outlines models of teacher training and professional development in information security and discusses key elements of school cybersecurity policy focused on incident prevention and fostering responsible behavior in the digital environment.

The growing demand for creative and recreational activities has led to the development of an AI-powered platform that automates paint-by-numbers canvas generation. By integrating image segmentation, color extraction (using K-means clustering), and vectorization, the system transforms user-uploaded images into customizable paint-by-number templates with precise color palettes. Leveraging OpenAI’s DALL-E for image generation, the platform simplifies a traditionally labor-intensive process while maintaining high-quality outputs. Usability tests confirm high user satisfaction due to its intuitive interface and high-resolution results. Beyond artistic applications, the tool also offers therapeutic benefits by promoting mindfulness and stress reduction, bridging the gap between technology and creative expression for both hobbyists and businesses.

The relatively recent rise in popularity of paint by numbers has stemmed from its ability to be used as a creative or therapeutic activity. Paint by numbers kits are straightforward and easy to use, but they provide a unique way for people to express themselves artistically. Despite the benefits, creating these kits is highly time consuming and requires the skills of a designer, advanced digital equipment, and high levels of effort. Properly segmenting an image, mapping the correct colors, and making the kit usable for novices is the primary issue with this approach. All of the techniques available are heavily reliant on a person’s knowledge, making it nearly impossible to adjust the scale. This paper describes an approach to automating the creation of paint by numbers canvases using modern techniques in image processing. The approach relies on the combination of vector-based segmentation, color clustering algorithms, and optimized workflows with a means to convert arbitrary images into paint by number templates by segmentation and clustering of colors. The approach described above allows for improved efficiency by greatly decreasing the amount of manual effort needed.