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Bubble

Online resource for NYU


Video demo: https://clipchamp.com/watch/nbpgfYjEcQV


Video Presentation: https://youtu.be/BJFATRNQbPo



Project Description:

  • The fundamental purpose of this project is to give a better platform to NYU students so that they can interact with each other and develop a connection. This app will build a community of students so they can share their experiences with peers.

  • Bubble is a resource for NYU students which they can use to resolve common problems they face in their academic life. With this app users can ask their queries, share their experiences, provide their opinions, answer other student’s queries and much more. This application can be a great guide for students who are joining NYU for the first time, or a fresh breath for already existing students. Given this app only allows people from NYU, it provides a sense of community, security and unity as well. It congregates all these features at one place and creates a data resource for students to refer to.


Motivation:

  • The main motivation behind building this application is for new incoming students to take advantage of the experience and knowledge of their seniors, right from the best place to eat near campus to the best courses to take for career advancement. The goal of this project is to create a forever increasing data resource compiled by students to help students. This platform will be a key place to exchange ideas, opinions and knowledge which will be beneficial for all.


Architecture

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AWS Services:

  • AWS Cognito
  • AWS API Gateway
  • AWS S3
  • AWS EC2
  • AWS Lambda
  • AWS IAM
  • AWS Rekognition
  • AWS SQS
  • AWS Comprehend
  • AWS CloudWatch
  • AWS DynamoDB


Product Features:

  • Provide Authentication to users
  • Question-Answer(StackOverflow) style interface to NYU affiliates where they can get their queries answered.
  • Short Blogging feature(Medium) share experience, information, achievements, event information etc.
  • Reviews feature(Rate my professor) that shows aggregated summary of reviews for courses offered by various NYU institutions along with their syllabus.
  • The platform will also suggest similar posts to the one which the user is viewing using ML.
  • The platform will also make checks for explicit content using ML.
  • The platform will provide sentiment of the reviews using ML.


Team Members: