Development of a Voice Assistant for a Task Management System

Student: Evgenii Konnov

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2024

In this work discusses the basics of the technological stack necessary for the design and creation of a software product: a simple voice assistant for managing tasks at the stages of software development based on operational engineering approaches. The study examines the use of a voice assistant integrated into the Telegram application via the Telegram API, the OpenAI-3.5 (ChatGPT) API and the Concept API. In addition, the prospects and trends of the development of this technology are considered. The practical section describes the integration process with the Telegram API for task management, interaction with the OpenAI-3.5 API (ChatGPT) to provide natural communication, and integration with the Concept API for task tracking and management in JavaScript software development. This work is devoted to the theoretical and practical study of operational engineering approaches in the context of software product development: a voice assistant for task management in software development. The focus is on the technology stack needed to design and build this product, primarily with an emphasis on using the Telegram API, the OpenAI-3.5 API (ChatGPT) and the Concept API. In addition, the article discusses the future prospects and trends in the development of this technology. The practical part describes the process of integrating the voice assistant with the Telegram API for managing tasks during development. Methods of interaction with the OpenAI-3.5 (ChatGPT) API to facilitate natural communication with users are discussed. In addition, details of integration with the Concept API for tracking and managing tasks in software development are provided. The entire implementation is carried out using the JavaScript programming language. This work provides a comprehensive overview of the technology stack and integration of various APIs when creating a voice assistant, as well as provides a practical understanding of the use of operational engineering approaches in software development.

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