Abstract:
The Algosikhi Learning Platform is a web-based educational system designed to help students and self-learners master Data Structures and Algorithms (DSA) through interactive visualizations and real-time pseudocode execution. The platform offers a structured approach to learning, allowing users to explore theoretical explanations, run algorithm simulations, and observe pseudocode highlighting in sync with visualizations. It supports both guest users and registered users — while guest users can freely access all learning content, registered users gain access to personalized dashboards and automatic progress tracking. Built with a focus on clarity, simplicity, and engagement, Algosikhi eliminates the need for an admin panel, with updates managed manually by the developer. The project aims to make complex algorithmic concepts more understandable and enjoyable through intuitive design, smooth animations, and interactive learning features.
