Overview

Episodes is an innovative TV show episode tracker built on the powerful Django framework and styled with Bootstrap 4. This web application provides a user-friendly interface for fans of television series to maintain a comprehensive record of their favorite shows, whether they're still airing or have concluded. What sets Episodes apart is its unique ability to offer recommendations tailored to individual preferences, leveraging machine learning and popular libraries such as Pandas, Sci-kit Learn, and NumPy.

With access to metadata through TheTVDB, Episodes ensures that users have the most accurate and up-to-date information about their favorite series. The blend of robust technology and sleek design makes this tracker a must-have for any dedicated TV show aficionado.

Features

User-Friendly Interface: Designed with Bootstrap 4, Episodes boasts an intuitive layout that makes navigation simple for all users.
Show Tracking: Effortlessly keep tabs on both ongoing and completed shows, ensuring you never miss an episode.
Machine Learning Recommendations: Get personalized show suggestions based on your viewing habits using advanced machine learning algorithms.
Data Management: Utilizes powerful libraries like Pandas and NumPy to handle data efficiently and effectively.
Accurate Metadata Integration: Incorporates detailed show information from TheTVDB, providing comprehensive insights about each program.
Supports Python Versions 2/3: Flexible compatibility with widely used Python versions caters to a variety of developer needs.
Active Development Community: Benefits from continuous improvements and updates, inspired by contributions from the open-source community.

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Episodes