Vikram - AI Voice Desktop Assistant

Nimesh KutheStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, Navi Mumbai, Maharashtra, IndiaVivek KumbharStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, Navi Mumbai, Maharashtra, IndiaOnkar KhandekarStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, Navi Mumbai, Maharashtra, IndiaDr. Umakant GohatreProfessor, Dept. of AI & ML, Smt. Indira Gandhi College of Engineering, Ghansoli, Navi Mumbai, Maharashtra, India

Vol 9 No 4 (2025): Volume 9, Issue 4, April 2025 | Pages: 135-139

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 23-04-2025

doi Logo doi.org/10.47001/IRJIET/2025.904020

Abstract

This project presents the development of a versatile AI voice desktop assistant capable of operating both online and offline to perform a wide range of tasks, including internet searches, task automation, multimedia control, and real-time operations. Utilizing advanced natural language processing and speech recognition, the assistant aims to enhance human-computer interaction through intuitive voice commands. The development followed a phased approach—starting with core functions like text-to-speech and voice recognition, then progressing to complex features such as reminders, GUI integration, and system-level control. The final system offers an interactive and user-friendly experience, demonstrating how AI-driven voice assistants can significantly improve productivity and user engagement. Future work may focus on enhancing conversational intelligence and expanding functional capabilities.

Keywords

AI voice assistant, speech recognition, natural language processing, task automation, user interface


Citation of this Article

Nimesh Kuthe, Vivek Kumbhar, Onkar Khandekar, & Dr. Umakant Gohatre. (2025). Vikram - AI Voice Desktop Assistant. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(4), 135-139. Article DOI https://doi.org/10.47001/IRJIET/2025.904020

References
  1. Leandro Tibola, Liane Margarida Rockenbach Tarouco (2013). ”Interoperabilityin Virtual World.”
  2. Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever (2018). ”ImprovingLanguage Understanding by Generative PreTraining.”
  3. Deepak Shende, Ria Umahiya, Monika Raghorte, Aishwarya Bhisikar, Anup Bhange (2019). ”AI Based Voice Assistant Using Python.
  4. Sangpal, Ravivanshikumar, Gawand, Tanvee, Vaykar, Sahil, Madhavi, Neha (2019). JARVIS: An interpretation of AIML with integration of gTTS and Python.”
  5. Rajat Sharma, Adweteeya Dwivedi (2022). ”JARVIS - AI Voice Assistant.”
  6. Divisha Pandey, Afra Ali, Shweta Dubey, Muskan Srivastava, Shyam Dwivedi, Md. Saif Raza (2022). ”Voice Assistant Using Python and AI.”
  7. Vedant Kulkarni, Shreyas Kallurkar, Vipul Waikar, Saurabh Patil, Swarupa Deshpande (2022). ”Virtual Assistant Using Python.”
  8. Dr. C. K. Gomathy, Redrouthu Venkata Narayana, Thota Vamsi Khrishna, DR. V. Geetha (2022). ”Artificial Intelligence Chatbot using Python.”
  9. T R, Mahesh. (2023). Personal A.I. Desktop Assistant. International Journal of Information Technology, Research and Applications. 2. 54-60.
  10. Nagappan, Umapathi, Ganesan, Karthick, Venkateswaran, Natesan, Ramalingam, Jegadeesan, Srinivas, Dava (2023). ”DESKTOP’S VIRTUAL ASSISTANT USING PYTHON.”