Cummins Connect

To develop 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.

Data Structures Used

1. Alumni Database Side: HashMap

    Hash maps offer efficient lookup and retrieval times, crucial for managing large sets of alumni data.
   

2. Alumni Arrangement: Trees (Non-linear)

    Trees facilitate hierarchical organization, allowing for easy navigation and categorization of alumni based on
   various attributes.
   

   

3. Student Database Side: Linked List

   Linked lists provide flexibility for dynamic data manipulation, making them suitable for managing student profiles.
   

4. Post: Array List

    Arrays offer constant-time access to elements, making them suitable for storing and retrieving posts efficiently.
   

   

Drive Links

Drive link to reports - https://drive.google.com/drive/folders/16QytgTrUZU1-pWZAhtDUHEW6Rv-FrNG3

Drive link to video - https://drive.google.com/drive/folders/11TPVyBYEx6EUqWXIUXrv9hcdp7Z_PEts?usp=sharing