International Journal of Innovative Research in Computer and Communication Engineering

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TITLE Smart AI Voice Assistant
ABSTRACT This is a Hindi voice-controlled desktop assistant designed and developed for the Windows operating system using Python 3.11 and the PyQt6 graphical framework. The system addresses a significant gap in current voice assistant technology — the lack of native Hindi language support for offline and online PC automation tasks. While global assistants such as Siri, Alexa, and Google Assistant have achieved widespread adoption, they remain primarily English centric and do not cater effectively to the hundreds of millions of Hindi-speaking users in India who prefer to interact with their computers in their mother tongue.
AUTHOR DR.SAYED AKHTAR, SHRIYASH A. SULAKHE, SANCHIT R. UMBARKAR, SAGAR S. NIKAM, AKASH S. KALE Professor, Department of CSE, International Centre of Excellence in Engineering & Management, Chh. Sambhaji Nagar, Maharashtra, India BE Student, Department of CSE, International Centre of Excellence in Engineering & Management, Chh. Sambhaji Nagar, Maharashtra, India
VOLUME 183
DOI DOI: 10.15680/IJIRCCE.2026.1404138
PDF pdf/138_Smart AI Voice Assistant.pdf
KEYWORDS
References [1] Zhang, Y., et al. (2022). "A Survey on Voice Assistant Technology: History, Architecture, and Future." ACM Computing Surveys, 54(4), 1-42.
[2] Choudhary, N., et al. (2018). "Improving Hindi Automatic Speech Recognition Using Transfer Learning." Proceedings of Interspeech 2018, Hyderabad, India.
[3] Dua, M., et al. (2019). "Improving Hindi Automatic Speech Recognition System using Transliteration." Journal of King Saud University – Computer and Information Sciences, 31
(4), 505-512. [4] Patel, R., et al. (2021). "Hinglish Language Processing: Challenges and Approaches." Proceedings of the 2021 Conference on Language, Data and Knowledge, Vienna, Austria.
[5] Kumar, P., et al. (2020). "Design and Development of a Hindi Voice-Activated Assistant." International Journal of Computer Applications, 175(32), 28-34.
[6] Google LLC. (2023). "Cloud Speech-to-Text API Documentation." Retrieved from https://cloud.google.com/speechto-text/docs
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