What to watch tonight ?

What to watch tonight is a movie recommendation system that uses collaborative filtering algorithms to suggest movies to users. It has two components :

• Back- end system
  • Training and recommendation system
  • Webserver system
• Front-end system

The fron-end system and back-end system can be found in their own individual directory. The entire front-end system is live at https://karundawadi.github.io/WTWT/

Steps to run

1. Install the latest version of Python
2. Install the latest version of node.js
3. Install the latest version of git
4. Setup for backend i. Install pip by typing $ python -m ensurepip --upgrade ii. You can install all the dependencies found on requirements.txt at Documentation/back_end/requirements.txt using pip in a virtual environment or in your working environement.
   • $ python pip install pandas
   • $ python pip install numpy
   • $ python pip install flask
   • $ python pip install flask-cors
5. Navigate to the cloned folder in your terminal
6. Navigate to the back_end directory i. Start the backend server by typing python back_end.py
7. Navigate to front_end directory i. Install the node modules by typing npm install ii. Start the web server by typing npm start

Contributing

You can fork the repository to make further changes. You can also raise issues if you encounter any.

Back-end system

Python and its various libraries (Pandas, Numpy,Flask,Flask-CORS) are used to develop the back end system. The training and recommendation is done using the data avialble at https://grouplens.org/datasets/movielens/

Front-end system

Front end system is written using Javascript and its various libraries (React,Axios,Materail UI,Bootstrap). The live version hosted at https://karundawadi.github.io/WTWT . This does not work until the backend server is started. Please follow the steps to run to start the backend server.

Demo

Dependencies

• Node.js
• React.js
• Material UI
• Bootstrap
• Axios
• Python
• Flask
• Flask-CORS
• Pandas
• Numpy