Friend Suggestion using Graph
Manishka Gautam1, Himanshu Sharma2, Mayank Chauhan3, Himanshu Shukla4, Nidhi Tawra5

1Manishka Gautam*, Department of CSE, Meerut Institute of Engineering and Technology, Meerut, India.
2Himanshu Sharma, Department of CSE, Meerut Institute of Engineering and Technology, Meerut, India.
3Mayank Chauhan, Department of CSE, Meerut Institute of Engineering and Technology, Meerut, India.
4Himanshu Shukla, Department of CSE, Meerut Institute of Engineering and Technology, Meerut, India.
5Nidhi Tawra, Department of CSE, Meerut Institute of Engineering and Technology, Meerut, India.
Manuscript received on March 16, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 2518-2520 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8486038620/2020©BEIESP | DOI: 10.35940/ijrte.F8486.038620

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The proposed design will present a new recommendation system for alumni association, which suggests friends to users based on their location and skills. The alumni can thus connect quickly and effectively with their peers. The project aims to connect the students, alumni and faculty through a single network where they can thus connect and collaborate for further ventures. The system provides the platform for students to gain momentum with respect to their career. The project aims towards giving a platform to the college authority which does not only serve the purpose of displaying college activities but is a full-fledged social network which includes suggestions based on graph database. It does not use any machine learning or data science algorithm but is purely algorithmic in approach.
Keywords: Graph Database, Neo4j, Suggestions, Web Application.
Scope of the Article: Graph Algorithms And Graph Drawing.