Year: 2025
Type: article
Abstract: It is an intelligent virtual assistant leveraging advanced technologies such as Python, Google Text-to-Speech (gTTS), and AI/ML to deliver a personalized user experience.It integrates gTTS for dynamic voice synthesis and employs PyTorch for neural network-based applications.Designed for tasks like voice-activated web searches, application control, task reminders, and data retrieval, it enhances user productivity.Additionally, the system incorporates IoT integration for seamless connectivity with smart devices and robust security features, including user authentication and encrypted communication, ensuring data privacy and secure interactions.This document outlines the system's methodologies, design principles, and performance analysis. .Furthermore, the research investigates the integration of AI assistants into different applications, including education, healthcare, and smart home environments, showcasing its versatility.Performance benchmarks reveal that voice assistant outperforms conventional virtual assistants in accuracy, speed, and adaptability.The findings demonstrate that the system can significantly improve efficiency by automating repetitive tasks and facilitating seamless human-computer interaction.
Authors: Nansi Jain, Ashutosh Thakur, Rohan Sharma, Sweta S, Vanya Gupta
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409840967