Sannidhi Padma Prasuna
Godina Geethika
Sai Sarayu V.
Gayathri J.
- Student School of information science SOIS, Presidency University West Bengal India
- Student School of information science SOIS, Presidency University West Bengal India
- Student School of information science SOIS, Presidency University West Bengal India
- Assistant Professor School of information science SOIS, Presidency University West Bengal India
Abstract
This paper presents the development and execution of a cutting-edge multilingual voice partner using JavaScript, HTML, CSS, and Python for the frontend and backend, independently. The voice accomplice is planned to appreciate and address client inquiries in various lingos, making it a significant gadget for people of all ages and foundations. The front end of the voice associate is created using JavaScript, HTML, and CSS, which give a simple to utilize point of interaction and assurance cross-stage closeness. The voice partner’s multilingual limits are achieved utilizing advanced ordinary language taking care of methodologies, including language acknowledgment and understanding. The voice helper’s execution in WhatsApp and various applications is achieved utilizing APIs and web snares, which consider continuous correspondence between the voice accomplice and the application. The voice accomplice can be gotten to through a direct visit interface, enabling clients to team up with the voice partner using ordinary language requests. The voice partner’s responses can be passed on through message, voice, or intuitive media messages, dependent upon the client’s tendencies and the capacities of the application. With the rising popularity of illuminating applications as a fundamental technique for correspondence, the voice accomplice’s blend into these stages gives a supportive and open way for clients to interact with the voice of the right hand.
Keywords: Voice Assistant, Multilingual Coordination, Regular Language Handling, WhatsApp, Client Experience.
[This article belongs to Current Trends in Information Technology(ctit)]
References
- Kumar A, Kaur D, Pathak AK. Voice assistant using python. In2022 International Conference on Cyber Resilience (ICCR) 2022 Oct 6 (pp. 1-4). IEEE.
- Umapathi, G. Karthick, N. Venkateswaran, R. Jegadeesan, Dava Srinivas. Desktop’s Virtual Assistant Using Python. Eur. Chem. Bull. 2023;12(S3):5975–5984.
- Agarwal A, Mishra A, Tiwari S, Singh R. Virtual Voice Assistant using Python. Journal of Advanced Research in Information Technology, Systems and Management. 2022 Nov 28;6(1):5-8.
- Kumar A, Kaur D, Pathak AK. Voice assistant using python. In2022 International Conference on Cyber Resilience (ICCR) 2022 Oct 6 (pp. 1-4). IEEE.
- Preethi G, Abhishek K, Thiruppugal S, AVoice VD. Assistant using Artificial Intelligence. International Journal Of Engineering Research & Technology (IJERT).. 2022 May;11(5):453-457.
- Kulkarni V, Shreyas Kallurkar, Vipul Waikar, Patil S, Deshpande S, Kulkarni V, et al. Virtual Assistant Using Python. JETIR. 2014;9(5):k198–201k198–201. Available from: https://www.jetir.org/view?paper=JETIR2205B23
- Durge A, Lokhande A, Nagpure A, Dharmik C, Dhawale K. AI powered virtual voice assistant. International Research Journal of Modernization in Engineering Technology and Science. 2023;5(11):796-800.
- Huang Y. Research on the development of voice assistants in the era of artificial intelligence. InSHS Web of Conferences 2023 (Vol. 155, p. 03019). EDP Sciences.
- Pramod Karande, Shubham Borchate, Bhavesh Chaudhary, Prof. Deveshree Wankhede. Virtual Desktop Assistant. International Journal for Research in Applied Science & Engineering Technology (IJRASET). 2022;10(III):1916-1920.
- Sahu A, Jha A, Bhargava R, Priya P, Kumari R. Voice Assistant Using Artificial Intelligence. InProceedings of the International Conference on Innovative Computing & Communication (ICICC) 2022 Mar 10.
- Sahu A, Jha A, Bhargava R, Priya P, Kumari R. Voice Assistant Using Artificial Intelligence. InProceedings of the International Conference on Innovative Computing & Communication (ICICC) 2022 Mar 10.
- Kumar L, Yadav K, Singh J, Tripathi K. AI-based voice assistance using AWS. International Journal of Innovative Research in Computer Science & Technology (IJIRCST) ISSN. 2021:2347-5552.
- Austerjost J, Porr M, Riedel N, Geier D, Becker T, Scheper T, Marquard D, Lindner P, Beutel S. Introducing a virtual assistant to the lab: A voice user interface for the intuitive control of laboratory instruments. SLAS TECHNOLOGY: Translating Life Sciences Innovation. 2018 Oct;23(5):476-482.
Current Trends in Information Technology
| Volume | 14 |
| Issue | 02 |
| Received | May 31, 2024 |
| Accepted | June 5, 2024 |
| Published | July 5, 2024 |