dswede43/flickfinder repository overview

My machine learning movie recommendation system! The model was created by converting the text of movie overviews into Term Frequency-Inverse Document Frequencies (TF-IDF), followed by pairwise calculations of cosine similarity between all movies. The TMDB movies dataset⁠ from Kaggle was used to train the model. The front-end GUI was made with Streamlit.

Docker run command:

docker run -d -p 5001:5001 --name flickfinder dswede43.flickfinder:0.0.1