International Journal of Advanced Research in Computer and Communication Engineering

Abstract: In today's fast-paced world, interacting with computers using traditional input devices like keyboards and mice can be cumbersome and inefficient. This project presents the design and implementation of a voice- activated assistant built using the Python programming language. Leveraging libraries such as speech recognition and text-to-speech, the assistant listens to user voice commands, converts speech into text, interprets the intent, and executes predefined tasks — such as opening applications or websites, fetching the current time or date, performing web searches, delivering news or weather updates, and managing simple tasks like reminders or basic arithmetic. The system aims to provide a hands-free, accessible, and user-friendly interface, especially benefiting users who have difficulty with conventional input or who prefer voice interaction. By reducing dependency on hardware input devices and automating routine actions, the assistant enhances user convenience and productivity. The modular architecture ensures extensibility and allows future integration of more advanced natural language processing or machine learning components for smarter responses.

Keywords: Voice Assistant, Speech Recognition, Text-to-Speech, Natural Language Processing (NLP), Virtual Assistant

Downloads: | DOI: 10.17148/IJARCCE.2025.141291