Аннотация
The interface design task involves creating a social task constructor for user customization. Existing digital platforms for solving social problems prioritize features like accessibility, innovation, and community engagement, but often overlook interface issues. This led to the selection of the best approach for developing the interface of the Kazakh digital intelligent platform based on data characteristics. The platform has the potential to significantly improve the effectiveness of solving social problems, providing a more responsive and personalized approach to supporting the population. The interface of the system for solving social problems was developed with an innovative solution that will combine advanced technologies and artificial intelligence methods for effective solution of social problems. Moreover, this study presents a novel platform employing advanced methods, including automated query analysis through natural language processing, an expert system leveraging a knowledge base curated from social experts, personalized solutions accommodating individual requests, a versatile problem-solving capability, and a feedback and analytics mechanism. The platform applies these methods to enhance user experience, provide effective solutions to a broad spectrum of social issues, and continuously refine its performance through user feedback and analytical insights.