
Shagun delivered the foundational scaffolding for an AI-powered Quiz Platform, establishing both backend and frontend architecture in the kietmcaproject/2024-25_KCA353_Project repository. The backend was implemented using Node.js and Express, integrating MongoDB for persistent storage of user authentication, quizzes, and results. On the frontend, Shagun used React and Redux to create a scalable, responsive interface with robust state management. The initial feature set included user authentication, quiz management, and result tracking, providing a solid baseline for future AI-driven enhancements. The work demonstrated depth in full stack development, focusing on extensibility and maintainability for subsequent analytics and personalized experiences.

Summary for 2024-12: Delivered the foundational scaffolding for an AI-powered Quiz Platform, establishing a scalable backend and frontend architecture that supports authentication, quiz management, and result tracking. This work lays the groundwork for AI-driven features and analytics, enabling rapid future delivery of quizzes and personalized experiences.
Summary for 2024-12: Delivered the foundational scaffolding for an AI-powered Quiz Platform, establishing a scalable backend and frontend architecture that supports authentication, quiz management, and result tracking. This work lays the groundwork for AI-driven features and analytics, enabling rapid future delivery of quizzes and personalized experiences.
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