Developed a solution to the problem of current students lacking effective means to connect with esteemed alumni from our college, hindering access to valuable guidance and opportunities, Cummins Connect is developed using the concepts of data structure and algorithms to improve the students access to alumni of their college. This solution aims to enhance mentorship and networking within our college community.
IDE - Eclipse version (1.8)
Hash maps offer efficient lookup and retrieval times, crucial for managing large sets of alumni data.
Trees facilitate hierarchical organization, allowing for easy navigation and categorization of alumni based on various attributes.
Linked lists provide flexibility for dynamic data manipulation, making them suitable for managing student profiles.
Arrays offer constant-time access to elements, making them suitable for storing and retrieving posts efficiently.
