AI & ML Based Voice Assistant

KABILAN K; MAHESWARAN V; SANJAY S; Ms. B. RANJANI

AI & ML Based Voice Assistant

April 2023

Vol-9, Issue-2

Paper ID: 19920

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science Engineering

Keywords

AI Voice Assistant Python VS-Code Natural language processing (NLP) Speech recognition Text-to-speech (TTS) Libraries Google search Music Play Weather detection News updates Email management Task management.

Abstract

An Artificial Intelligence (AI)-based voice assistant is a popular technology that allows users to interact with a computer system using natural language. This technology has gained significant attention in recent years due to the increasing demand for smart home automation and personal digital assistants. The use of AI in voice assistants has made it possible to create highly intuitive and personalized systems that can recognize and respond to user commands in a natural and conversational manner. In this paper, we propose a new AI-based voice assistant that utilizes a combination of natural language processing (NLP) and machine learning techniques to understand user intent and provide personalized responses. The system uses a deep neural network (DNN) to perform speech recognition, which is then processed using an NLP algorithm to extract the user's intent. The system then uses a machine learning model to provide personalized responses based on the user's history and preferences. We conducted experiments to evaluate the performance of our system, and the results show that our AI-based voice assistant achieves high accuracy in recognizing user intent and provide personalized responses. With the rapid advancements in artificial intelligence, voice assistants have become an increasingly popular technology in recent years. information, and controlling smart home devices.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	KABILAN K	EGS Pilay Engineering College
2	MAHESWARAN V	EGS Pilay Engineering College
3	SANJAY S	EGS Pilay Engineering College
4	Ms. B. RANJANI	EGS Pilay Engineering College

How to Cite

Use the following formats to cite this article in your research.

APA Style

K, KABILAN, V, MAHESWARAN, S, SANJAY, & RANJANI, Ms. B. (2023). AI & ML Based Voice Assistant. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 2937-2948.

MLA Style

K, KABILAN, et al. "AI & ML Based Voice Assistant." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 2937-2948.

IEEE Style

KABILAN K, MAHESWARAN V, SANJAY S, and Ms. B. RANJANI, "AI & ML Based Voice Assistant," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 2937-2948, 2023.

Vancouver Style

K KABILAN, V MAHESWARAN, S SANJAY, RANJANI Ms. B.. AI & ML Based Voice Assistant. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):2937-2948.

Harvard Style

K, KABILAN, V, MAHESWARAN, S, SANJAY, & RANJANI, Ms. B. (2023) 'AI & ML Based Voice Assistant', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 2937-2948.

Chicago Style

K, KABILAN, et al. "AI & ML Based Voice Assistant." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2937-2948.

Turabian Style

K, KABILAN, et al. "AI & ML Based Voice Assistant." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2937-2948.