This paper presents a comprehensive DSA (Data Structures and Algorithms) practice platform \ndesigned to enhance problem-solving skills through personalized learning and performance-driven \nfeedback. The system integrates user and admin modules, enabling efficient management of topics, \nquizzes, coding problems, and assessments. Users can learn concepts, attempt MCQ-based quizzes, and \nsolve coding problems, earning experience points (XP) to encourage engagement. A machine learning\nbased recommendation engine analyzes user performance, including accuracy, time complexity, and \ncoding efficiency, to suggest optimized learning paths and identify weak areas. Additionally, an AI\npowered code analysis module evaluates submissions and provides improvement insights. The \nplatform includes coding tests covering multiple topics, generating detailed performance summaries to \nguide learners effectively. Supporting features such as real-time notifications, flash notes, admin-user \nchat support, and topic-based community discussions further enrich the learning experience. The \nproposed system aims to bridge the gap between theoretical understanding and practical coding \nproficiency by offering an adaptive, interactive, and scalable environment for DSA preparation.