A smart recommendation platform designed to help students find suitable internships and scholarships based on their preferences, skills, and interests. It leverages .NET API for backend processing and integrates an AI-powered recommendation model to deliver personalized suggestions efficiently.

Developed a full-featured RESTful API for a jewelry e-commerce platform using Node.js and Express. Implemented user authentication, product and category management, cart operations, order processing, and favorites system. Integrated MongoDB for data storage with clean and modular code structure following MVC principles.

An online mobile store is a digital platform where customers can browse, compare, and purchase a wide range of mobile devices and accessories conveniently from their computer or mobile device, along with secure payment options, ensuring a seamless and safe shopping experience.

The system allows users to easily borrow library items through a simple process. Users can log in, search for books, check availability, and request to borrow them. Once approved, they receive notifications about their transactions. The system tracks loans, updates item statuses, and manages returns, ensuring a smooth and efficient borrowing experience.