International Journal of Advanced Research in Computer and Communication Engineering

Abstract: In the era of smart automation, AI-powered voice assistants have evolved beyond basic task execution to provide intelligent decision-making capabilities that significantly enhance human-computer interactions. With the integration of advanced machine learning algorithms and real-time data processing, modern voice assistants are not just reactive tools but proactive systems capable of learning and adapting to user behavior over time. This paper presents "Neon AI," a next-generation, customizable AI voice assistant developed using Python, designed to bridge the gap between standard virtual assistants and the growing need for personalized, context-aware automation. Neon AI incorporates robust voice recognition techniques, state-of-the-art natural language processing (NLP), and intelligent task automation capabilities to streamline user interactions across various platforms. Leveraging powerful AI models like GROQ and Cohere, Neon AI offers dynamic and adaptive responses tailored to individual preferences, making it versatile for both personal and professional applications. Additionally, the assistant features a user-friendly graphical interface developed using PyQt5, enhancing accessibility for users with varying technical backgrounds. The paper highlights the comprehensive methodology adopted in designing the modular architecture of Neon AI, details the implementation processes, and provides an in-depth analysis of the system's performance through empirical metrics and graphical evaluations. Experimental results demonstrate Neon AI's proficiency in handling multi-faceted tasks, delivering high accuracy in voice recognition, low response latency, and an engaging user experience, paving the way for future enhancements in AI-driven personal assistant technologies.

Keywords: AI Voice Assistant, Task Automation, Natural Language Processing, Neon AI, Voice Recognition, GROQ API, Speech Recognition, PyQt5, Automation

Downloads: | DOI: 10.17148/IJARCCE.2025.14738