Inspiration
We spent way too much time looking for things to watch on Netflix, HBO Max, and Hulu, and we know other people share our struggles. So we decided to make the process a little bit easier.
What it does
The user inputs their movie preferences, such as the genre, starring actors, IMDb ratings, runtime, and directors, and the website returns a collection of movies for the user to "swipe right or left" on, like a dating app.
How we built it
We obtained a public dataset and imported it into MySQL Workbench, which we then connected to PyCharm in order to run the queries. For the front-end, we are using Flask, HTML, and CSS to develop a webpage.
Challenges we ran into
We struggled with figuring out how to import the CSV dataset into PyCharm, but we resolved it by using MySQL to make the database connection.
Accomplishments that we're proud of
Our proudest achievement was successfully importing the dataset into MySQL.
What we learned
The most important thing that we learned was how to make an idea into an actual working product, rather than just designing the concept.
What's next for date night
We want to implement machine learning that will learn from the movies that the user likes and dislikes.
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