| Vugar Abdullayev, Ajesh F, Allen Shabu, Sabir Mammadov, Shafi Danyalov, Dursun Khurshudov, Yaqub Sardarov, Samira Aliyeva, Zarifa İmanova, Camaladdin Nuraliyev, Akif Imanov Enhanced Virtual Assistant for Visually Impaired Individuals with Python-based Voice Assistant (FRIDAY) |
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| Abstract. In our modern era, computers have become an integral part of our daily lives, and the advent of Artificial Intelligence (AI) and Machine Learning has made technology more accessible than ever before. These advancements have paved the way for humans to interact with machines in unprecedented ways, leading to the emergence of Virtual Personal Assistants (VPAs). These VPAs, like Alexa, Bixby, Echo, Siri, and Google Assistant, are available on various platforms, including desktop computers and mobile devices. While they have revolutionized the way we interact with technology, there are certain limitations that hinder accessibility and efficiency for some user groups. Senior citizens, visually impaired individuals, and young children often encounter difficulties when using conventional input methods, such as keyboards and screens, to interact with VPAs. Additionally, existing VPAs may not offer the full range of functionalities that users require. To address these limitations and make technology more accessible and efficient, a voice assistant has been developed in Python specifically for Windows systems. This voice assistant offers an alternative means of interacting with computers, relying solely on voice commands. Users can perform a wide range of tasks without the need for a keyboard or traditional input methods. Notable features include the ability to send emails by simply specifying the recipient's email address and the message to be sent. Users can also effortlessly book transportation services, such as cars, buses, and train tickets, by stating their destination. |
| Keywords: Artificial Intelligence, Machine Learning, NLP, Virtual Personal Assistants |
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| DOI: https://doi.org/10.54381/itta2024.03 |