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VisualML is an interactive web application designed to simplify the learning of Machine Learning concepts. The platform integrates visual simulations, quizzes, and user performance tracking to enhance understanding and engagement. Users can explore different ML topics such as Regression, Classification, Clustering, and Neural Networks through intuitive interfaces and dynamic visualizations. The system also provides quizzes with instant feedback to evaluate user understanding. The project is deployed using Firebase, enabling real-time authentication and hosting. The combination of visualization and interactivity makes VisualML an effective tool for beginners in Machine Learning. Key Words: Machine Learning, Web Application, Gamification, Firebase, Education, Interactive Learning.