his project focuses on analyzing and summarizing videos using machine learning techniques. The original implementation is in a Jupyter Notebook (.ipynb) and utilizes Google's Gemini model to extract key information from videos. The main tasks involve:

Extracting video frames: Breaking down the video into frames at specific intervals.
Processing frames: Applying machine learning models to understand the content of each frame.
Generating a summary: Producing a concise textual summary of the video's content.

convert this implementation from Python (.ipynb) to JavaScript.