Mostakim, MoinAkter, Rabeya2025-09-012025-09-0120252025-05ID 23173002http://hdl.handle.net/10361/26621Cataloged from the PDF version of the project report.Includes bibliographical references (pages 82-84).This project report is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2025.This project presents a voice-controlled browser extension designed to enhance web accessibility and convenience through natural language voice commands. Targeting users with motor and visual impairments, as well as those seeking hands-free multitasking, the system integrates the Web Speech API for real-time speech recognition and TensorFlow.js for machine learning-based command interpretation, complemented by browser automation techniques. Its user-centered design incorporates intuitive voice commands and feedback mechanisms, ensuring the extension is approachable for non-technical users. The modular and scalable architecture facilitates easy updates and supports potential expansions, such as broader command sets, multi-language capabilities, and additional accessibility features like text summarization or translation. Key contributions include improved accessibility for users with disabilities, seamless support for multitasking, and the practical integration of interdisciplinary technologies. By successfully executing a range of browser commands, this work advances human-computer interaction and underscores the transformative potential of voice-driven interfaces in creating more inclusive digital environments.95 pagesenBRAC University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Voice-controlled interfaceWeb accessibilityBrowser automationNatural language processingSpeech recognitionHuman-computer interactionHands-free computingAssistive technologyAssistive computer technology.Computer-assisted instruction.Natural language processing (Computer science).Project Report