SMS Movie Suggester Web App

Problem Statement

Selecting the right and perfect movie to watch based on a mixture of genre and plot movie watchers have in mind is not easy and this process takes a lot of time. A movie recommendation web-based application that recommends movies (using movies features and some algorithms) to a user without requiring users details can be developed to give users a better experience whenever they want to watch a movie.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

Backend:

pip install django djangorestframework django-cors-headers rake-nltk numpy scipy sklearn pandas

Frontend:

$ npm install axios react-router-dom antd

Downloading SMS APP

Cloning The GitHub Repository

git clone https://53un@bitbucket.org/53un/sms.git

Installing

Once you've cloned the repository and installed all the prerequisites, you're just a few steps away from running the app.

Firstly, you have to install the dependencies needed to start the application, run this in the frontend folder from the command-line:

$ npm install

Running the Application

Running the Frontend:

Run this in the frontend folder from the command-line:

$ npm start

The frontend part of the application should run on port 3000 with the development environment configuration, so in your browser just go to http://localhost:3000

Running the Backend:

Run this in the backend folder from the command-line:

$ python manage.py runserver

The backend part of the application should run on port 8000 with the development environment configuration, so in your browser just go to http://localhost:8000

That's it! The application should be running.

Built With

Django Web Framework - The web framework used
Django REST Framework - Rest API tool used
React Web Framework - The web framework used
Numpy and Pandas- libraries used for data manipulation and analysis
Scikit-learn Machine Learning Library - The machine learning library used
Rake-nltk - library used for Natural Language Processing(NLP) keyword extraction

Authors

Amal Ahmed - Initial work - Github
Jamiu Oluwaseun Ojeleye - Initial work - Github
Selen KUTANOĞLU - Initial work - Github

Acknowledgments

Thanks to our lecturer Sedat Görmüş, PhD for giving us a project to boost our skills :)

OluwaseunOjeleye/SMS