Enhanced Virtual Assistant (EVA)

Akshay Sharma; Er. Kirat Kaur; Savit Gautam; Rishabh Sharma; Sneha Chauhan; Simran1

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Publication Date: 2023/12/09

Abstract: Students can obtain individualized and knowledgeable guidance via personal AI desktop assistants, which can help them succeed academically and advance equity and inclusion. However, building usable user interfaces, assuring correct speech recognition, and creating effective job execution modules are all difficulties in the development of such assistants. This paper proposes a Python-based personal AI desktop helper. A highly accurate speech recognition module, a task execution module, and a user interface designed with people with visual impairments in mind are all included in the assistant. The task execution module can do a range of tasks, including reading textbooks, taking notes, and finishing assignments. This research has the potential to lead to the creation of powerful personal AI desktop assistant - EVA for students using Python. These aides can provide a more inclusive learning environment and help levelthe playing field for students with impairments. The necessity for specialized technical solutions to address the particular academic needs of students has never been more urgent in an era of growing digital connectedness. In especially for those with visual impairments, this research addresses current concerns about data privacy, reliable speech recognition technologies, and accessible user interfaces. Through this project, we hope to promote a more welcoming and encouraging learning atmosphere in addition to improving academic performance. The assistant makes sure that visually impaired users have a seamless encounter by utilizing clear voice-guided navigation and other input options. We want to create a more inclusive and encouraging learning environment in addition to improving academic success through this project. Additionally, to the subject of educational technology, this research contributes to broader concerns on inclusivity and accessibility in digital applications.

Keywords: Intelligent Personal Assistant(IPA), Virtual Assistant, Artificial Intelligence(AI), Text-to-Speech(TTS), Graphical User Interface(GUI), Speech-too-Text(STT), Enhanced VirtualAssistant(EVA).

DOI: https://doi.org/10.5281/zenodo.10320153

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23NOV535.pdf

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