Authors :
Akshay Sharma; Er. Kirat Kaur; Savit Gautam; Rishabh Sharma; Sneha Chauhan; Simran
Volume/Issue :
Volume 8 - 2023, Issue 11 - November
Google Scholar :
https://tinyurl.com/mvdbpnkb
Scribd :
https://tinyurl.com/2p85va69
DOI :
https://doi.org/10.5281/zenodo.10320153
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).
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).