Movie Mine

github website

What this does:

• User can input movie rating of movies they have watched:
  • searching and rating
  • random movie suggestions to rate
• Using the app's algorithm, it will provide the user with movies to watch next based on the movies rated

How this program does it:

• It is based on a 25million input database of movies and user ratings
• The database is sorted, filtered and modified to remove unwanted data
• After input and rating collection from user a machine learning collaborate filtering/matrix factorization is applied

Technical breakdown of project:

• Pandas and Python are used to extract and classify the data
• User-friendly website is implemented using HTML,CSS and JavaScript
• Data is collected from the user and stored
• Imported "Lenskit" Machine learning algorithms are fitted to the data from the user and our dataset to find neighbors
• The algorithm, and website is developed and combined using Django