Movie Recommendation System:
Created an intuitive user interface using Java Servlets, HTML, CSS, and JavaScript(Angular), enabling users to search for movies, view recommendations, and rate films., MySQL, Node.js, Developed the backend of the movie recommendation system using Node.js, implementing RESTful APIs to handle user requests and interactions. Implemented recommendation algorithms and machine learning techniques to provide personalized movie recommendations.
Full-stack online marketplace:
Used React.js for building responsive user interfaces, integrating with backend APIs for seamless user experience. Utilized Node.js and Express.js for server-side logic, handling requests, and managing databases. Leveraged MongoDB for storing product information, user data, and chat messages. Ensured data consistency and reliability by designing a robust database schema and optimizing database queries for high performance., React.js, Node.js, Express.js, MongoDB