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https://github.com/karan-malik/moviehype

A Python based movie recommender hosted using Flask
https://github.com/karan-malik/moviehype

correlation css3 flask flask-application flask-backend flask-web machine-learning movie-database movie-recommendation movie-reviews movies numpy numpy-arrays pandas pandas-library pandas-python python python3 website

Last synced: 3 months ago
JSON representation

A Python based movie recommender hosted using Flask

Host: GitHub
URL: https://github.com/karan-malik/moviehype
Owner: Karan-Malik
License: mit
Created: 2020-05-23T08:59:50.000Z (over 4 years ago)
Default Branch: master
Last Pushed: 2022-12-08T07:50:33.000Z (about 2 years ago)
Last Synced: 2023-03-05T15:09:54.991Z (almost 2 years ago)
Topics: correlation, css3, flask, flask-application, flask-backend, flask-web, machine-learning, movie-database, movie-recommendation, movie-reviews, movies, numpy, numpy-arrays, pandas, pandas-library, pandas-python, python, python3, website
Language: HTML
Size: 1.68 MB
Stars: 4
Watchers: 1
Forks: 1
Open Issues: 8
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

# MovieHype
A Python based movie recommender hosted using Flask

## Overview
This movie recommender is made using Python3 and [pandas](https://pandas.pydata.org/), a powerful open source data analysis and manipulation tool and hosted on local server using [Flask](https://flask.palletsprojects.com/en/1.1.x/), a python web framework.
It uses a vast dataset of movies and their user reviews, to derive correlation between a user's rating of various movies. Generalising this correlation for all movies and users, it provides you with accurate and relevant recommendations, based on the movie entered.

![img](https://github.com/Karan-Malik/MovieHype/blob/master/Capture.PNG)

## Dataset
The dataset used consists of 100,000 ratings applied to 9,000 movies and is avaiable on the [Group Lens Website](https://grouplens.org/).This application uses the Small dataset available on the webiste.

You can access the dataset [here](https://grouplens.org/datasets/movielens/)

## How to Use

1. Clone this repository onto your system. On Command Prompt, run the following command:

```
git clone https://github.com/Karan-Malik/MovieHype.git
```
2. Change your directory to MovieHype:
```
cd MovieHype
```

3. Then run the follwing commands to run the application:
```
set FLASK_APP=movie.py
flask run
```

4. Enter the url provided after running the previous commands into your web browser

### The movie recommender is now ready for use!

Enter the name of a movie and receive recommendations of similar movies. Click on the movie recommended to check out its reviews and ratings.

#### Never run out of movies!!

##### To install flask follow this [link](https://flask.palletsprojects.com/en/1.1.x/installation/)

###### If application does not work after completing the previous steps, run it in a [virtual environment](https://djangocentral.com/how-to-a-create-virtual-environment-for-python/)