АДАПТАЦІЯ ОСВІТИ ДО РИНКУ 3D-ГРАФІКИ ЗА ДОПОМОГОЮ ШІ

DOI: 10.31673/2412-4338.2025.048925

Анотація

The article examines the application of artificial intelligence and chatbots in the field of career counseling and education, with a focus on the specific challenges of their implementation in the 3D graphics industry. Particular attention is paid to analyzing the information asymmetry between educational programs and the rapidly dynamic labor market, which is driven by the rapid development of 3D modeling, visualization, generative design, and real-time tools. The growing demand for proficiency in tools (Unreal Engine, Unity, Blender), Python automation skills, and integration with LLM models creates significant challenges for students, entry-level professionals, and educators, who require constant access to up-to-date market analytics to adjust professional development and update curricula.

To address these challenges, a solution based on NLP and machine learning methods is proposed — the prototype of the Telegram assistant AI_Job. Its functionality includes aggregating vacancies from open sources, automatically analyzing skill requirements, identifying qualification gaps (skill gaps), and generating personalized recommendations for users. Thus, the system serves as a career navigator, vacancy aggregator, skill analyst, and teaching assistant. The prototype is implemented using the asynchronous Python framework Aiogram 3+, ensuring high performance, stability, and modular architecture. The bot performs multi-channel vacancy parsing, automatic AI user testing, resume analysis, qualification level classification (Junior/Middle/Senior), and generates personalized daily digests. The system's analytical reports allow educators to track current market trends and timely update the content of educational disciplines in accordance with industry needs.

Pilot testing of the system involving students, young professionals, and educators from the fields of 3D graphics, game design, and digital design demonstrated a positive impact on users' labor market orientation and increased their motivation to build individual educational trajectories. The obtained results confirm the system's potential as a tool for operational labor market monitoring, educational path formation, and enhancing the relevance of educational content in dynamic technological industries.

Keywords: 3D graphics; artificial intelligence; AI tools; career guidance; information system; monitoring; educational trajectories; curriculum adaptation.