
Developed a full-stack voting platform with user authentication, delivered in the kietmcaproject/2024-25_KCA353_Project repository. The solution featured a Node.js and Express backend integrated with MongoDB via Mongoose for secure data storage and user management. On the frontend, React and Tailwind CSS were used to create a seamless user experience, supporting registration, login, voting for Math, Science, or English courses, and real-time results viewing. The project established a robust RESTful API and a scalable data model, laying the groundwork for future enhancements. No major defects were reported, reflecting a solid initial implementation and careful attention to integration details.
Month: 2024-12 — Repo: kietmcaproject/2024-25_KCA353_Project. Key deliverable: Full-stack Voting Platform with User Authentication, built with a Node.js/Express + MongoDB (Mongoose) backend and a React frontend. End-to-end flow includes user registration/login, voting for Math/Science/English, and results viewing. No major defects reported this period; initial scaffold established for future scale. Impact: enables secure, end-to-end course voting and data-driven decision-making, improving student engagement and decision analytics. Skills demonstrated: full-stack JavaScript development, RESTful API design, authentication basics, data modeling with MongoDB/Mongoose, and frontend/backend integration.
Month: 2024-12 — Repo: kietmcaproject/2024-25_KCA353_Project. Key deliverable: Full-stack Voting Platform with User Authentication, built with a Node.js/Express + MongoDB (Mongoose) backend and a React frontend. End-to-end flow includes user registration/login, voting for Math/Science/English, and results viewing. No major defects reported this period; initial scaffold established for future scale. Impact: enables secure, end-to-end course voting and data-driven decision-making, improving student engagement and decision analytics. Skills demonstrated: full-stack JavaScript development, RESTful API design, authentication basics, data modeling with MongoDB/Mongoose, and frontend/backend integration.

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