International Journal of Science, Engineering and TechnologyAuthors: Prof. A. C. Sawant, Mayuri Bhujbal, Harshada Salunke, Harshada Ahire., Dhruv Mene
Abstract: This paper presents a comprehensive DSA (Data Structures and Algorithms) practice platform designed to enhance problem-solving skills through personalized learning and performance-driven feedback. The system integrates user and admin modules, enabling efficient management of topics, quizzes, coding problems, and assessments. Users can learn concepts, attempt MCQ-based quizzes, and solve coding problems, earning experience points (XP) to encourage engagement. A machine learning–based recommendation engine analyzes user performance, including accuracy, time complexity, and coding efficiency, to suggest optimized learning paths and identify weak areas. Additionally, an AI-powered code analysis module evaluates submissions and provides improvement insights. The platform includes coding tests covering multiple topics, generating detailed performance summaries to guide learners effectively. Supporting features such as real-time notifications, flash notes, admin-user chat support, and topic-based community discussions further enrich the learning experience. The proposed system aims to bridge the gap between theoretical understanding and practical coding proficiency by offering an adaptive, interactive, and scalable environment for DSA preparation.
