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Co-Re MERN Work In Progress

Source Demo

Course-Review is a MongoDB-Express-React-Node (MERN1) web application that aims to serve as a platform for college students to post structured yet personal reviews of courses they’ve taken, and view reviews posted by other students.

Functionality

Login & Registration :


Search :


Markdown Support :

To Do

Login & Registration :


User Interface / User Experience :


Bugs :

Code

Course Review Schema:

const mongoose = require("mongoose");

const Schema = mongoose.Schema;

const coursereviewSchema = new Schema(
  {
    university: { type: String, required: true },
    subject: { type: String, required: true },
    code: { type: String, required: true },
    name: { type: String, required: true },
    semester: { type: String, required: true },
    professor: { type: String, required: true },
    rating: { type: Number, required: true },
    author: { type: String, required: true },
    authorId: { type: String, required: true },
    general: { type: String, required: true },
    tldr: { type: String, required: true },
    workloadrating: { type: Number, required: true },
    examsrating: { type: Number, required: true },
    syllabus: String,
    textbook: { type: String, required: true },
    grading: String,
    workload: String,
    lectures: String,
    assignments: String,
    exams: String,
  },
  {
    timestamps: true,
  }
);

const CourseReview = mongoose.model("CourseReview", coursereviewSchema);

module.exports = CourseReview;

Demo

Co-Re Home Page

Home page of Co-Re. Here, you can see overview of courses, and search instantly for any course. The search function allows for fuzzy matching2.


Co-Re View Course Page

This is an example page of a course review. Markdown text formatting is supported.


  1. MongoDB is a document database that generally serves as the backend service for MERN apps, while React.js is the client-side JavaScript framework that renders web elements. Express.js and Node.js make up the JavaScript web server. See also: MERN 

  2. Here, fuzzy matching (more accurately approximate string matching) refers to matching records based on approximate search terms, e.g. searching “naitonal” will find “National University of Singapore” as one of the matches.