The AlumniNet is a tool to help undergraduate students connect with alumni in a focused, useful way. By using LinkedIn’s API, this extension gives students access to a customized library of alumni profiles that match their career goals and interests.
The program goes beyond basic networking by matching students with alumni who fit their specific needs. For example, a student looking for their first internship could be matched with alumni who recently started working or know about hiring. If a student is considering graduate school, they can be connected with alumni who went on to get advanced degrees. Once matched, students can use the program’s mentorship features, like resume reviews, mock interviews, project guidance, and conversation starters, to help build connections. This application makes it easier for students to network with a clear path and helpful steps to reach out and get support for their career plans.
Node.js: JavaScript framework used to build the server-side of the application, handling backend logic and API requests. Next.js: React framework that allows for server-side rendering, making it easier to build and deploy the project with dynamic user interface React: The core library used for building the user interface, providing a dynamic and interactive experience for users to browse and filter alumni profiles. Figma: Web design tool used for creating the UI/UX designs and wireframes of the application, ensuring a user-friendly interface. MongoDB: NoSQL database to store and manage user data, alumni profiles, and matching preferences for the networking platform. Tailwind CSS: CSS framework used to style the application and connect to our web design, making it responsive to user interaction and easy to customize. JavaScript: The primary programming language used for both the client and server-side logic, enabling dynamic behavior and handling of events throughout the application