PROTECTED INTELLIGENT SYSTEM FOR AUTOMATIC NOTIFICATION OF IMPORTANT NEWS

DOI 10.31673/2412-4338.2025.024456

Abstract

Abstract: The article provides a comprehensive analysis of existing systems of news portals, news aggregators and communication platforms, such as Telegram channels and Viber chats. It has been determined that, despite the access to a wide range of information sources, these solutions have a number of shortcomings: the need for independent monitoring of news, a high probability of information overload and limited filtering of really important events. To eliminate these shortcomings, it is proposed to create an automated system for notification of important news in real time without the participation of moderators. The use of machine learning algorithms, in particular artificial intelligence models such as ChatGPT, makes it possible to automatically analyze news texts, determine their importance and rank information according to specified criteria.

The article proposes the structure of a system for automatic notification of important news for its software implementation and substantiates the choice of a cross-platform application architecture based on Progressive Web App (PWA), which ensures the accessibility of the system to a wide range of users from different devices - smartphones, tablets and personal computers. The developed system consists of two main parts: a server one, which collects, analyzes and processes news data, and a client one - in the form of a convenient PWA application with support for offline mode, push notifications and the ability to install it on the device's home screen. To implement the server part, it is proposed to use modern programming languages, such as Node.js, Python or Golang, which guarantee flexibility, high performance and easy integration with external AI services via API. Data protection mechanisms, such as authorization and authentication via JWT, information encryption via HTTPS (SSL/TLS), database protection and secure caching in the browser, have been implemented. The proposed solutions guarantee confidentiality, integrity and availability of information. The testing has confirmed the high efficiency, accuracy of the system and convenience for end users.

Keywords: news texts, data collection, analysis, artificial intelligence models, web application, users, push notifications, AI services, security, database.