Authors :
B.B. Waghmode; Aditya Kabdule; Omkar Yadav; Subhadra Diwan; Hitanshi Kaklij
Volume/Issue :
Volume 8 - 2023, Issue 3 - March
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://bit.ly/3zykxTx
DOI :
https://doi.org/10.5281/zenodo.7802522
Abstract :
This paper presents a research project aimed
at developing a virtual assistant for desktop computers
that can per- form a wide range of tasks using natural
language processing and machine learning techniques.
The virtual assistant is designed to assist users in
performing various tasks, such as searching the web,
managing files, scheduling appointments, and sending
emails, among others. The proposed system uses a
combination of speech recognition, natural language
understanding, and dialogue management techniques to
enable users to interact with the assistant using spoken
language. The research project involves several phases,
including data collection and preprocessing, feature
extraction, model training and evaluation, and system
integration and testing. The data used for training and
evaluation are collected from various sources, including
publicly available datasets and user interactions with the
system. The feature extraction process involves
extracting relevant features from the collected data, such
as acoustic features, linguistic features, and contextual
features. The model training and evaluation phase
involves developing and testing different machine
learning models for various tasks, such as speech
recognition, natural language understanding, and
dialogue management. The models are evaluated using
standard metrics, such as accuracy, precision, recall, and
F1-score, to ensure their effectiveness and efficiency.
The system integration and testing phase involves
integrating the different components of the system and
testing the overall system performance and usability.
The system is evaluated using user studies and surveys to
gather feedback and improve its design and
functionality. The proposed virtual assistant has the
potential to revolu- tionize the way users interact with
their desktop computers, providing a more intuitive and
efficient way to perform various tasks. The research
project contributes to the field of natural language
processing and machine learning, demonstrating the
effectiveness and potential of these techniques in
developing intelligent systems for real-world
applications.
Keywords :
Desktop Application,Artificial Intelligence ,Speech Recognition,Voice-Based Interaction.
This paper presents a research project aimed
at developing a virtual assistant for desktop computers
that can per- form a wide range of tasks using natural
language processing and machine learning techniques.
The virtual assistant is designed to assist users in
performing various tasks, such as searching the web,
managing files, scheduling appointments, and sending
emails, among others. The proposed system uses a
combination of speech recognition, natural language
understanding, and dialogue management techniques to
enable users to interact with the assistant using spoken
language. The research project involves several phases,
including data collection and preprocessing, feature
extraction, model training and evaluation, and system
integration and testing. The data used for training and
evaluation are collected from various sources, including
publicly available datasets and user interactions with the
system. The feature extraction process involves
extracting relevant features from the collected data, such
as acoustic features, linguistic features, and contextual
features. The model training and evaluation phase
involves developing and testing different machine
learning models for various tasks, such as speech
recognition, natural language understanding, and
dialogue management. The models are evaluated using
standard metrics, such as accuracy, precision, recall, and
F1-score, to ensure their effectiveness and efficiency.
The system integration and testing phase involves
integrating the different components of the system and
testing the overall system performance and usability.
The system is evaluated using user studies and surveys to
gather feedback and improve its design and
functionality. The proposed virtual assistant has the
potential to revolu- tionize the way users interact with
their desktop computers, providing a more intuitive and
efficient way to perform various tasks. The research
project contributes to the field of natural language
processing and machine learning, demonstrating the
effectiveness and potential of these techniques in
developing intelligent systems for real-world
applications.
Keywords :
Desktop Application,Artificial Intelligence ,Speech Recognition,Voice-Based Interaction.
