Content Based Movie Reccomendation system using Cosine similarity. App deployed on heroku . Click to open App

1. Content Based (tags are created)
2. Collaborative filtering (based on behaviour of users)
3. Hybrid

Dataset is downloaded from Kaggle

To use the following code create environment in the root directory

conda create -p venv python==3.9 -y

then activate the environement

conda activate venv

install the dependencies

pip install -r requirements.txt

To run the app of local system

streamlit run app.py

To deploy the app on heroku create setup.sh file with following code

mkdir -p ~/.streamlit/
echo "\
[server]\n\
headless = true\n\
port = $PORT\n\
enableCORS = false\n\
\n\
" > ~/.streamlit/config.toml

Also create a Procfile with following code

web: sh setup.sh && streamlit run app.py

To get the movies poster you need tmdb apikey and movie_id send get request READ TMDB API

https://api.themoviedb.org/3/movie/{movie_id}?api_key=<<api_key>>&language=en-US