📖 Overview : This Movie Recommendation System suggests movies based on a selected title using machine learning and similarity scores. It features a user-friendly interface built with Streamlit.
🚀 Features : Interactive UI: Dropdown for movie selection and a recommendation button. Personalized Suggestions: Recommends five movies based on your choice. Quick and Efficient: Precomputed similarity data ensures fast responses.
🛠️ Requirements : To run this project, ensure you have the following installed: Python 3.x, Streamlit, Pandas, Numpy, Pickle
Install the required dependencies using: pip install streamlit pandas numpy
📂 Project Files : app.py: Main Streamlit application. movie-recommender.ipynb: Notebook for recommendation logic and model building.
🎮 Usage : Select a movie from the dropdown menu. Click the Recommend button. View the five recommended movies displayed below.