Inspiration
Looking for a good film to watch can sometimes pose some problems when looking for a specific genre and feel. Using Ideal Film, users can find an entire list of films in the same classification that fit what they are looking for.
What it does
This project gives the user a list of film recommendations by using an API from The Movie Database to match with the user's criteria and display the films on the web page. It makes a REST API call to https://api.themoviedb.org and retrieves a JSON object with an array of movies. The page uses a customized style sheet and dynamic HTML generation.
How we built it
Using the repl.it IDE, HTML, CSS and Javascript were used along with The Movie Database API.
Challenges we ran into
Getting the JSON object array to display on the screen.
Accomplishments that we're proud of
Creating a recommender system using an API.
What we learned
New techniques pertaining to APIs and web design.
What's next for Final Submission - Division Sigma - Ideal Film Recommender
Implementing machine learning algorithms to grade personal preferences against films in the database for more accurate recommendations. Eventually expanding it to books, music, podcasts, education and career recommender systems.
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