Movie Recommender System

• Tech Stack: Python, Pandas, Scikit-learn, TF-IDF Vectorizer, Gradio, TMDb API
• Github URL: Project Link

Movie recommendation system that provides personalized suggestions based on content similarity.

Overview

The system includes features like:

• Analysis of genres, keywords, taglines, cast, and director details to identify similar films.
• Use of TF-IDF vectorizer and cosine similarity to measure movie closeness accurately.
• Interactive user interface built with Gradio, allowing movie selection and providing up to 10 recommendations.
• Display of each recommended movie poster, fetched via the TMDb API.