An Integrated Model for A Virtual Voice Assistant Using Modern Artificial Intelligence Technologies

Ahmed Salam AL Amour and Dr. G. Sandhya Devi
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Ahmed Salam AL Amour: Computer Science & Systems Engineering Andhra University.
Dr. G. Sandhya Devi: Computer Science & Systems Engineering Andhra University.

International Journal of Latest Technology in Engineering, Management & Applied Science, 2025, vol. 14, issue 6, 1105-1112

Abstract: This paper presents the comprehensive development of a desktop-based virtual assistant application that leverages advanced speech recognition and natural language processing (NLP) technologies. The system is developed using Python programming language and is seamlessly integrated with Google Gemini to enhance performance and understanding of user intent. The assistant provides a user-friendly conversational interface for executing a variety of system-level tasks, such as launching desktop applications, recording the screen, retrieving general information, and automating repetitive commands. The primary objective of this project is to significantly enhance user productivity and improve overall system accessibility, especially through intuitive voice-based interaction. In today's world, many visually impaired, physically disabled, and elderly individuals suffer from social isolation and a diminished sense of independence in their everyday lives. Voice assistant systems provide a highly promising solution to this challenge by enabling hands-free, natural, and intuitive interaction with digital technology. This approach allows users to carry out essential tasks, access necessary information, and communicate with others without the need for visual cues or manual input. The proposed project introduces a Python-based voice assistant system specifically designed with the needs of blind, elderly, and physically challenged individuals in mind. The system is tailored to improve their quality of life by promoting continuous engagement, enhancing digital accessibility, and encouraging greater independence. By integrating both speech recognition and text-to-speech capabilities, the assistant can understand verbal commands, respond with synthesized speech, and perform vital functions such as setting alarms or reminders, reading incoming messages, providing weather or news updates, and accessing online content. This work demonstrates the transformative potential of AI-powered voice technologies in fostering inclusivity, supporting vulnerable populations, and empowering individuals with special needs through smart, accessible digital interaction.

Date: 2025
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