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@article{194749,
        author = {Umamaheswararao Mogili},
        title = {Speech Based Query Assistant Using Machine Learning and Natural Language Processing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {5884-5890},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194749},
        abstract = {Voice Query Assistants (VQAs) are becoming an important part of modern technology, allowing people to interact with computers using voice commands instead of typing. These assistants make it easier and faster for users to perform tasks and access information. The main goal of this project is to design and develop a Voice Query Assistant that can understand user voice commands and respond accordingly. In this project, a voice assistant named MEERA is developed using the Python programming language. The system uses technologies such as Automatic Speech Recognition (ASR) to convert speech into text and Text-to-Speech (TTS) to respond back to the user with voice output. It also uses Natural Language Processing (NLP) techniques to understand the user’s query and provide suitable responses. A simple and user-friendly Graphical User Interface (GUI) is created using Tkinter so that users can easily interact with the assistant. The assistant is capable of performing several useful tasks such as searching information on Wikipedia, opening Google or YouTube, playing videos, checking the weather, telling the current time, opening system applications like Notepad or Calculator, checking system conditions like CPU usage and battery percentage, and even sending emails. By using voice commands, users can interact with the computer in a more natural and convenient way. This project shows how voice-based systems can improve the user experience by making technology more accessible and easier to use. It also demonstrates the practical use of voice recognition and artificial intelligence in everyday applications. Although voice assistants provide many advantages, challenges such as background noise, speech recognition accuracy, and internet dependency still exist. Despite these limitations, voice assistants have great potential and will continue to play an important role in future human–computer interactions.},
        keywords = {Voice Assistant, Speech Recognition, Natural Language Processing, Python, Human– Computer Interaction, Voice-Based Systems.},
        month = {March},
        }