Customized Alumni Portal implementing Natural Language Processing Techniques

The communication gap between students and alumni is a hindrance for students to exploit opportunities in the field of their study, and alumni to help students since they do not have a platform to connect with them. Thus it is essential to create an interactive collaboration and communication platform that can effectively and easily connect students, faculty, alumni and industry. The key modules of the proposed portal include an events and calendar module, opportunities module, mentoring and collaboration module, and a discussion forum module. All content posted in the portal is summarized and tagged as per the preference of the user, enabling easy search and recommendation systems. The portal also obstructs obscenity in textual content, and keeps the portal professional. The portal would also be a platform that uses natural language processing and machine learning to build a completely intelligent human-like social media platform, focusing on customization.