Development of a Graphical User Interface for Time Series Toolbox Using Deep Learning

Time series data has wide application across numerous sectors including healthcare, finance, and environmental studies, offering profound insights into historical trends and future predictions. Time series data requires advanced analytical methodologies for effective feature extraction and application of machine learning techniques, bearing significant challenges, particularly for individuals lacking specialized expertise. Recognizing these challenges, this project proposes the development of a sophisticated, user-friendly Graphical User Interface (GUI) application designed to provide easy access to complex time series analysis. By simplifying the methodologies through an intuitive interface, the solution aims to empower users ranging from novices to experts, facilitating deeper engagement with time series data. Through this user-centric application, the project aims to extend the benefits of big data and machine learning technologies, enhancing research and operational efficiencies across various fields.