arkoof22/movie-recommender

A real-time CNN based model to predict human emotions and recommend movies based on those emotions.

Movie-Recommender

Dataset

Facial Emotion Recognition (FER) 2013 Challenge Dataset was used for this project. The data consists of 48x48 pixel grayscale images of faces. The faces have been automatically registered so that the face is more or less centred and occupies about the same amount of space in each image. The task is to categorize each face based on the emotion shown in the facial expression into one of seven categories (0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral).

Demo

https://www.youtube.com/watch?v=n9FIgEeSloE&t=1s

Install components

sudo apt-get update
sudo apt-get install python-pip 

Setting up Virtual Environment and Install Requirements

• Install virtualenv

  sudo pip install virtualenv

• Create a Virtual Environment with Name movie-recommender

  python3 -m venv movie-recommender

• Activate the Environment

  source movie-recommender/bin/activate

• Execute the following command from root directory

  pip install -r requirements.txt

Setting Up Database

• Create a database named moviedb from Terminal

  mysqladmin create moviedb

• Reload Database from dump.sql

  mysql moviedb < dump.sql

• Alternatively, it can be done through mysql CLI

Running Website Locally

• Run the following Command from Root

python main.py