Development of an intelligent scheduling system based on a personal assistant
https://doi.org/10.37661/1816-0301-2026-23-2-68-79
Abstract
Objectives. The aim of the research is to develop an intelligent scheduling system operating locally on the user's equipment without data transmission via Internet.
Methods. This paper examines the problem of ensuring the privacy and autonomy of digital assistants dependent on cloud infrastructure. A client-server architecture is proposed, in which the server component is implemented using the FastAPI framework and an SQLite database, and the client interface is written in JavaScript. Schedule visualization and entry editing are performed through the web interface.
Results. The system's voice pipeline is described: the Porcupine engine is used for activation, and the Faster-Whisper model with int8 quantization is used for transcription. A comparative analysis of the technology stack, ensuring high speech recognition accuracy, is conducted. A hybrid natural language understanding module is developed. RAG technology is implemented, integrating schedule data into the response generation context. Speech synthesis is performed using the Piper neural network, whose execution through ONNX Runtime ensures high processing speed. A heuristic greedy search algorithm for managing time resources has been developed.
Conclusion. The developed system is considered applicable in the corporate sector, where information security and operation in closed network environments are critical.
About the Authors
A. V. Yaskevich
Belarusian State University
Belarus
Belarus
Anton V. Yaskevich, Student
av. Nezavisimosti, 4, Minsk, 220030
V. A. Chuyko
Belarusian State University
Belarus
Belarus
Vladislav A. Chuyko, M. Sci. (Phys.-Math.), Senior Lecturer
av. Nezavisimosti, 4, Minsk, 220030
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For citations:
Yaskevich A.V., Chuyko V.A. Development of an intelligent scheduling system based on a personal assistant. Informatics. 2026;23(2):68-79. (In Russ.) https://doi.org/10.37661/1816-0301-2026-23-2-68-79
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