vaishnavi23022003 / cinematic

Cinematic

A movie-recommendation website built using python django framework.

Prerequisites

1. Git
2. Python (version 3 or above)

Setup

$ git clone https://github.com/Vaishnavi23022003/Cinematic.git
$ cd Cinematic

Create a virtual environment to install dependencies in:

$ python -mvenv env

if above command does not work due to difference in python versions try:

$ pip install virtaulenv
$ virtualenv env

Activate the virtual environment

$ env/scripts/activate

if above command does not work due to difference in python versions try:

$ source env/bin/activate

if it still doesn't work then find the activate file in env folder and use it's path

Then install the dependencies:

(env)$ pip install -r requirements.txt

if above command does not work due to difference in python versions try:
use py -m pip install in place of pip install

Note the (env) in front of the prompt.
This indicates that this terminal session operates in a virtual environment set up.

Once pip has finished downloading the dependencies:

(env)$ pip install django
(env)$ django-admin startproject temp

A temp folder will be created -> we only need this for django SECRET_KEY.
Go to temp/temp/settings.py and copy the value of SECRET_KEY.
Now got to ../../Cinematic/settings.py and replace the value of SECRET_KEY with the copied one.
Also change <db_user_name> with the name of postgresql database and <db_password> with password of postgresql database.

Now:

(env)$ python manage.py runserver

And navigate to http://127.0.0.1:8000

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Features

1. Recommendation : When a user logins to the website, the following happens:
   

• if the user has rated more than 20 movies
  • the app recommends movie using user based collborative filtering
• else
  • the app recommends movie using popularity based filtering
    
    

2. Search : In the home page the user can search movies and movies with similar names will appear.
   
   
3. Movie : When user clicks on a movie it loads the page for that movie which contains details ragarding that movie.
   
   
4. Similar Movies : The movie page also contains movies similar to the selected movie based on genre using content based filtering
   
   
5. Trailer : When user clicks on the trailer button the app plays the trailer of that movie.
   
   
6. Watch Again : A lot of times users like to watch movies again. So the app also has a Watch Again section
   where the movies are displayed in a sorted order on the basis of the rating given by the user in reverse order.
   
   

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Screenshots of website

The authentication page.


The home page -> contains reccomendations


The Movie page


On pressing the trailer button, the trailer of the movie is played


Similar Movies Section


Watch Again Section

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Initial Database

To see how worked I on the initial dataset visit this Link.