
Rishav developed a full-stack voting platform for the kietmcaproject/2024-25_KCA353_Project repository, enabling secure user registration, authentication, and course voting for Math, Science, and English. He designed the backend using Node.js and Express, with MongoDB and Mongoose for data modeling and persistence, and implemented RESTful APIs to manage user and voting flows. The frontend, built with React and styled using Tailwind CSS, integrates seamlessly with the backend to provide a smooth user experience. His work established the project’s foundational architecture, focusing on end-to-end feature delivery and scalability, and addressed the need for data-driven student engagement and decision analytics.

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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