Paper On Voice-Controlled Web Application

Authors: Prof. H. S. Bhore, Mr.Soham Kadam, Mr. Abuzar Mulla, Mr. Arman Shikalgar, Mr. Rushikesh More, Ms. Shraddha Sable, Mr. Yash Suryavanshi, Mr. Bharat Shitole, Mr. Parth Shinde, Mr. Ashitosh Nikam

Abstract: – This study presents a voice-enabled web application developed using Alan Studio, the News API, and React, designed to offer users an intuitive and engaging way to access and interact with news content. By leveraging speech recognition and natural language processing (NLP), the system allows users to access news hands-free based on location, source, theme, and interest. The proposed solution enhances accessibility, particularly for visually impaired users, and demonstrates the potential of voice- controlled interfaces in web applications and e-commerce. Utilizing IBM Watson Speech-to-Text and neural network-based speech recognition, the application efficiently processes voice commands to deliver real-time, relevant information. This AI-driven system improves user engagement and convenience by enabling voice-assisted navigation. The study highlights the impact of speech-to-text technology in modern web applications, offering a dynamic, user-friendly, and accessible digital experience. Future applications include government services, healthcare, and automated customer interactions..

DOI: http://doi.org/