

A Review on Virtual Personal AI Assistants
Abstract
In the era of rapidly evolving technology, the advent of personal assistants has revolutionized human-computer interaction. These smart companions, also known as AI assistants or digital aides, use the power of natural language processing to comprehend and execute user requests seamlessly. Python, renowned for its versatility and simplicity, emerges as a prime candidate for crafting such assistants due to its robustness. This paper presents an innovative virtual personal AI desktop assistant developed using Python. Capitalizing on the SpeechRecognition API, it adeptly converts speech into text, enabling effortless communication with the user. The system’s functionalities extend far beyond mere speech recognition; it streamlines everyday activities with remarkable efficiency. From composing emails and conducting web searches to playing music and launching preferred development environments, the system empowers users with a single voice command. Our exploration into creating a virtual AI personal assistant underscores the profound impact of AI on human productivity and comfort. In today’s landscape, where technological advancements abound, AI-driven solutions exemplify the convergence of efficacy and seamlessness. By alleviating the burdens of mundane tasks, the VPA epitomizes the transformative potential of AI, ushering in an era where human effort is augmented, and time is optimized.
References
Kulhalli, K. V., Sirbi, K., & Patankar, M. A. J. (2017). Personal assistant with voice recognition intelligence. International Journal of Engineering Research and Technology, 10(1), 416-419.
Shende, D., Umahiya, R., Raghorte, M., Bhisikar, A., & Bhange, A. (2019). AI based voice assistant using python. Journal of Emerging Technologies and Innovative Research, 6(2), 506-509.
Subhash, S., Srivatsa, P. N., Siddesh, S., Ullas, A., & Santhosh, B. (2020, July). Artificial intelligence-based voice assistant. In 2020 Fourth world conference on smart trends in systems, security and sustainability (WorldS4) (pp. 593-596). IEEE.
Appalaraju, V., Rajesh, V., Saikumar, K., Sabitha, P., & Kiran, K. R. (2021, December). Design and development of intelligent voice personal assistant using python. In 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (pp. 1650-1654). IEEE.
Kumar, C. R. (2020). Virtual assistant using artificial intelligence and Python. J. Emerg. Technol. Innov. Res, 7(3), 1116-1119.
Rajakumar, P., Suresh, K., Boobalan, M., Gokul, M., Kumar, G. D., & Archana, R. (2022, December). IoT based voice assistant using Raspberry Pi and natural language processing. In 2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS) (pp. 1-4). IEEE.
Mauny, H., Panchal, D., Bhavsar, M., & Shah, N. (2021, September). A prototype of smart virtual assistant integrated with automation. In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 952-957). IEEE.
Vasuki, R., & Sujitha, T. C. (2019). Smart role of deep learning in Google Duplex through artificial intelligence. IJRAR-International Journal of Research and Analytical Reviews (IJRAR), 6(2), 24-27.
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