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@article{194119,
        author = {Gaurav Shashikant Men and Parth Nikhil Kulkarni and Vedant Pandharinath Lohar and Atharva Sanjay Mujumale},
        title = {CODEPILOT: An AI-Powered Interactive Platform for Learning Data Structures and Algorithms},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {2770-2773},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194119},
        abstract = {Learning Data Structures and Algorithms (DSA) is a fundamental requirement for students pursuing computer science and software development. However, many beginners face significant difficulties in understanding algorithmic logic, visualizing data structure operations, and applying theoretical concepts to practical coding problems. Traditional learning methods such as textbooks, static tutorials, and video lectures often lack interactivity and real-time guidance, which can result in reduced learner engagement and conceptual confusion.
This paper presents CodePilot, an AI-assisted interactive learning platform designed to simplify the study of Data Structures and Algorithms for beginners. The proposed system integrates artificial intelligence with visualization tools, interactive coding environments, and structured learning modules to create an engaging educational experience. The platform provides step-by-step explanations of algorithms, real-time code execution, algorithm visualization, and intelligent assistance to help learners understand complex concepts more effectively.},
        keywords = {Artificial Intelligence, Coding Assistant, Generative AI, Programming Education, Natural Language Processing},
        month = {March},
        }