Entertainment-Engine 🎥

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FilmBuddy is a movie recommendation system built using the TMDB dataset, featuring over 5,000 movies. The system recommends movies based on descriptions, genres, and user ratings, utilizing advanced text vectorization techniques.

Project Overview

• Duration: May 2024 - Jul 2024
• Type: Self-Project
• Technologies: Python, Pandas, Scikit-learn, TMDB API, TfidfVectorizer, Cosine Similarity

Features

• Movie Recommendation System:

  • Utilizes the TMDB dataset with 5,000+ movies.
  • Provides recommendations based on movie descriptions and genres.

• Collaborative Filtering:

  • Implemented Content-Based Collaborative Filtering to enhance recommendations using ratings from 500+ users.

• Text Vectorization & Similarity:

  • Applied TfidfVectorizer and Cosine Similarity for text vectorization and stemming.
  • Boosted comparable movie recommendation accuracy by 30%.