fyp-report/projectsynopsis/project-synopsis.tex

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% Write the approved title of your dissertation
\title{Automated image classification with expandable models}

% Write your full name, as in University records
\author{Andre Henriques, 6644818}

\date{}

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\begin{document}

    \maketitle
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    \tableofcontents
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    \section{Introduction}
    % This section should contain an introduction to the problem aims and objectives (0.5 page)

    The aim of this project is to create a classification service that has 0
    requires zero user knowledge about machine learning, image
    classification or data analysis.
    The system should allow the user to create a reasonable accurate model
    that can satisfy the users' need.
    The system should also allow the user to create expandable models;
    models where classes can be added after the model has been created.

    \subsection{Aims}
    The project aims to create a platform where users can create different types of classification models without the users having any knowledge of image classification.

    \subsection{Objectives}
        This project's primary objectives are to: 
        \begin{itemize}
            \item Create platform where the users can create and manage their models.
            \item Create a system to automatically create and train 
            \item Create a system to automatically create and train models
            \item Create a system to automatically expand and reduce models without fully retraining the models.
        \end{itemize} 
        This project extended objectives are to:
        \begin{itemize}
            \item Create a system to automatically to merge modules to increase efficiency
            \item Create a system to distribute the load of training the model's among  multiple services.
        \end{itemize}
    \section{Literature Review}
    % 1 page of background and literature review. Here you will need to references things. Gamal et al.~\cite{gamal} introduce the concept of \ldots

    \subsection{Alternatives to my Project}
    There currently exist systems that do image classification, like Google Vision AI, and Amazon's Rekoginition. 
    Their tools, while providing similar services to what my project is supposed to do, it mostly focusses on general image classification rather than specific image classification, i.e. Car vs Boat, vs, Car model X vs Car model Y.

    \subsection{Creation Models}

    \subsection{Expandable Models}

    \subsection{Merging models}

    \section{Technical overview}
    % 1 page of overview. My approach is shown in Figure~\ref{fig:sample}. You can draw the diagram in powerpoint and save the picture

    \section{Workplan}
    % The following work plan is what I will be using for the project is shown in Figure~\ref{fig:sample2}.

    \appendix
    \newpage

    \section{References}
    \printbibliography[heading=none]

    % TODO add my job title
\end{document}