Google - Gemini Long Context

The Watcher

Google Gemini Long Context Competition on Kaggle to recommend the most relevant MCU movies so that the viewer can save time but also still being in the loop. Leverages Gemini's 2 million token context window and content caching to engineer a tool for casual MCU viewers so they do not need to sit through all 34 movies and 11 TV shows to fully understand the main storyline.

Web scrapes and uses a Kaggle dataset of MCU transcripts as input to answer questions of whether the story is relevant to understand the MCU as a whole, which movies are prerequisites to this story, and key plot points to pay attention to in the future.

Gemini was able to successfully recommend movies based on the fed transcripts proving that it could be a powerful tool involving long inputs.