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Student Project | Computer Technology | India | Volume 14 Issue 4, April 2025 | Rating: 4.9 / 10
Bringing Data to Life: An Interactive Dashboard for Real Time Insights and Anomaly Detection
Lancy Biji, Shyma Kareem
Abstract: The Data Visualization Dashboard is a Flutter-based interactive platform designed to empower users with efficient data analysis and visualization tools. In an era dominated by data-driven decision-making, businesses and organizations require intuitive and powerful tools to interpret complex datasets. This paper focuses on transforming raw data into meaningful insights by offering a user-friendly interface with real-time updates, interactive charts, and advanced filtering options. The dashboard enables users to seamlessly import datasets, apply dynamic filters, and generate insightful visual representations in the form of bar charts, line graphs, and other intuitive formats. Designed primarily for business analysts, paper managers, and data professionals, this system simplifies complex data patterns, making strategic decision-making more accessible and efficient. One of the key innovations of this paper is the integration of machine learning techniques, specifically the XGBoost algorithm for anomaly detection. This ensures the identification of outliers and unusual data patterns, enhancing the analytical capabilities of the platform. By highlighting anomalies within datasets, users can proactively detect potential issues, fraud, or significant trends that might otherwise go unnoticed.
Keywords: Data Visualization, Flutter, Anomaly Detection, XGBoost, Interactive Dashboard, Machine Learning
Edition: Volume 14 Issue 4, April 2025,
Pages: 1796 - 1801