\documentclass[10pt,twocolumn]{article}
\usepackage[margin=0.7in]{geometry}
\usepackage{graphicx}
\usepackage{booktabs}
\usepackage{amsmath}
\title{Project Title}
\author{Student Name \\ CS460/660 - Machine Learning}
\date{\today}

\begin{document}
\maketitle

\begin{abstract}
State the problem, the approach, the main result, and the conclusion in 100--150 words.
\end{abstract}

\section{Introduction}
What problem are you solving? Explain why it matters and state your research question.

\section{Related Work}
Describe the base paper and the most relevant existing methods. State what remains open.

\section{Method}
Describe your method, design choices, input, output, and implementation clearly enough to reproduce.

\section{Dataset and Experimental Setup}
Describe the dataset, preprocessing, train/test split, evaluation metrics, and baselines.

\section{Results}
Present the main results using figures or tables. Explain what the results show and compare them with the baseline.

\section{Analysis and Limitations}
Discuss important observations, errors, limitations, and what the results do not establish.

\section{Conclusion}
Answer the research question and state the main contribution. Mention useful future work briefly.

\section*{Acknowledgements}
Mention datasets, software, or other assistance when appropriate.

\begin{thebibliography}{9}
\bibitem{base}
Author, ``Title of the base paper,'' Venue, Year.
\bibitem{data}
Dataset or software reference.
\end{thebibliography}

\end{document}
