Voice Controlled News Web Application With Speech Recognition Using Alan Studio
Keywords:
Artificial Intelligence, Voice Assistants, React, News API, Alan AI Voice, Recognition, Mobile Digital Assistant, Audio Pattern Matching, Audio Control, MobilityAbstract
In this paper, a very fascinating proposition is created, a new web-based service that is a fusion of the revolutionary new Alan Studio, News API and React. The proposed idea of the Voice Controlled Web Application provides a simplistic approach and ease to the user. The service provides all the components required for a user to be able to use voice and speech as a medium to find and look for news about his/her choice and the option to go through the news in a very concise or in very detailed manner. A voice-controlled system embedded in a web application can enhance user experience and can provide voice as a means to control the functionality of e-commerce websites. The system also offers the ability to search news on the basis of preferred location, source, theme, and interest. The system provides a very user-friendly, easy to use, dynamic, and informative user experience. The system enables the user to have the ability to not onlystay informed and updated but that too by using one of the most sought-after technologies in the world right now. The system will reduce the amount of human effort required by the user to perform previously and will offer a more exciting way
of gettinginformed.Newspapers have been a constant source of news and information for us for about 400 years now. Many technological advancements led to newer ways of delivering news and information about various aspects. Since the advent of technological developments such as Artificial Intelligence, researchers and developers have tried to make use of Artificial Intelligence in various fields. This research paper is an effort to make newsreading more fun and interactive using the ALAN voice assistant.The web app is completely interactive and the user is able to get news from any topic of interest just by speaking. The user can access
news by category, popular news channels, by terms, etc. The web app is completely responsive and works well with anydevice such as a laptop, tablet, or mobile phone. The paper is developed using technologies such as (ReactJS, JavaScript, Visual Studio Code, and Alan AI.)