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Smart Automation Data Visualization is an AI-powered analytics and dashboard generation system developed to automate the process of data analysis, visualization, predictive analytics, and business reporting. The system enables users to upload datasets in CSV or Excel format and automatically generates intelligent dashboards with suitable charts, KPI metrics, and analytical insights without requiring manual configuration or technical expertise. The proposed system uses Machine Learning techniques for dataset pattern detection and smart chart recommendation. The Random Forest algorithm is used to identify dataset structures and recommend appropriate visualization types such as Bar Charts, Column Charts, Line Charts, Histograms, Pie Charts, Donut Charts, Stacked Bar Charts, KPI Cards, and Sparklines. Data preprocessing and analysis are performed using Pandas, while machine learning operations are implemented using Scikit-learn. Interactive and responsive visualizations are dynamically rendered using Chart.js. The platform also includes predictive analytics functionality using Linear Regression models to forecast future sales, revenue, and profit trends based on historical data. The system automatically detects trends, correlations, and performance patterns, enabling users to make data-driven business decisions. In addition, AI-generated analytical reports and KPI summaries provide detailed business intelligence insights in a user friendly format. The Smart Automation Data Visualization system reduces manual analytical effort, improves reporting enhances business efficiency, and decision-making through intelligent automation and real time interactive dashboards. The proposed solution provides capabilities similar to modern business intelligence platforms such as Microsoft Power BI and Tableau while focusing on automated visualization, predictive analysis, and smart analytics generation using Artificial Intelligence and Machine Learning technologies.