DEVELOPMENT OF A MOBILE APPLICATION A CROSS-PLATFORM VIRTUAL VOICE ASSISTANT FOR STUDENT

Abstract

The purpose of this article is to analyze modern approaches and technologies for creating voice assistants based on artificial intelligence, as well as to present the results of mobile development of a virtual voice assistant. The article discusses key aspects of the development, including the choice of algorithms for natural language processing, machine learning and speech recognition technologies. The architecture and functionality of the developed voice assistant are described, as well as examples of its application. Materials and methods: modern methods of visual modeling and programming, the capabilities of the Dart language and the Flutter framework are used to solve the problems of developing a virtual assistant. Results: a cross-platform mobile application has been developed that combines the capabilities of voice recognition, text mining, voice and image playback. In conclusion, conclusions are drawn about the future prospects of development, integration and implementation into the modern digital educational ecosystem.

Keywords

• voice assistant
• artificial intelligence
• natural language processing
• machine learning
• speech recognition
• mobile applications
• platform integration