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Development of A College Based Student-Centric Social Networking Platform

Authors: Srujana Inturi; Bharath Kotipalli; Sreekar Reddy Karnati;

Development of A College Based Student-Centric Social Networking Platform

Abstract

Student-centric social networking platforms are playing an important role to engage students with one another. These platforms are becoming increasingly popular among students around the world, for the development of mutual cooperation, knowledge sharing, and development of opportunities. The aim of present research paper is to discuss about a new student-centric social networking platform created exclusively for colleges where students can learn more about the college, available clubs, seek help from peers or faculty, share common interests, and stay up to date with the happenings in and around the campus. A college based social networking website was developed where, the front end was built with ReactJS, and the Chatbot API is built with Python and Flask. The Chatbot was implemented using natural language processing. The database was built with PostgreSQL and accessed using Hasura and Graph QL. The developed application/website promotes teaching and learning in a more dynamic way without compromising the privacy of users. Admins can use this platform to specify which semesters, classes, (or teachers) should receive notices. The faculty are accessible directly through this platform without sharing their personal contact information. It has a section for events and clubs, where all clubs can showcase their accomplishments and so on. This allows students to meet other students with similar interests in the college (or alumni). This website also function as a digital identification card. Further, this platform is all about connecting with the right people and improving the college experience both academically and socially.

Keywords

Student-Centric Social Networking Platform, PostgreSQL, Hasura and Graph QL.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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