Developed a movie recommendation application using React (Frontend) and Python (backend)

• The algorithm recommends related movies based on your search item.

• ML algorithm trained using the TMDB movies dataset available in Kaggle.

• Leveraging TBDB developer tools to execute API calls for retrieving essential details about recommended movies, encompassing elements like movie posters and ratings.

• Flask web framework containerized using docker is used for communication  between frontend (React) and backend (Python ML)

Video demo of the application can be found here