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Movie Recommender

AI project, Type a movie name or a combination of features and get the top 10 similar movies.

  • Used content-based approach.
  • Used The Movie DB dataset.
  • Used Count vector, which counts word frequency in each movie.
  • Used Cosine similarity, which takes the count vector and calculates the similarity between movies.
  • Build API using Flask to present the two models.
  • One of the top three projects in AI collage competition.

Team

  • Mai Abdallah
  • Nada Hamdi
  • Marwan Said
  • Mohamed Rady
  • Abdelhady Mohamed

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Movie recommendation system as a machine Learning model imported into a flask api

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