Virtual Voice Assistant (Jenny)

In the contemporary technological landscape, artificial intelligence (AI) has catalyzed a transformative revolution, culminating in the emergence of virtual assistants such as Google Assistant, Bixby, Alexa, and Siri. This study centers on Jenny, a virtual voice assistant specifically designed for Windows operating systems. Jenny’s primary objective is to enhance accessibility for individuals with disabilities, particularly those who are unable to type or have visual impairments. Utilizing Python programming languages, Jenny facilitates a seamless user experience through voice commands, effectively mimicking human interaction. Its capabilities encompass the opening of applications, internet browsing, and control over multimedia functions, significantly augmenting the independence of users with disabilities. A notable feature of Jenny is its ability to comprehend and respond contextually through Natural Language Processing (NLP). NLP enables Jenny to interpret linguistic nuances, ensuring accurate and appropriate responses, thereby rendering it reliable for routine usage. Jenny stands as a pivotal advancement in virtual assistants, underscoring the paramount importance of accessibility and inclusivity. This research provides a comprehensive account of Jenny’s design, implementation, and impact, showcasing the transformative potential of AI in empowering users with disabilities.