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Creating compelling highlight reels or summaries of sports plays involves time-consuming video editing and voiceover work, requiring manual selection of key moments, cutting the video, and adding narration.

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PiAreSquared/Clipper

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Clipper

Last update: 04/12/2024

Overview

Clipper is an application for generating highlights that employs a custom algorithm to identify key moments in a game. Furthermore, we generate AI-synthesized commentary to provide context to plays and enhance engagement. Our solution aims to address the current method of highlights selection, which requires substantial human effort and is both inconsistent and time-consuming.

Setup and Installation

  1. Clone the repository:

    https://github.com/PiAreSquared/Open-Source-Software-Senior-Design-Project.git
  2. Navigate to the project directory:

    Open-Source-Software-Senior-Design-Project
  3. Install frontend dependencies:

    npm install
  4. Install backend dependencies:

    pip install -r requirements.txt

Testing

You may run our test suite to ensure that Clipper was setup and installed correctly.

pytest tests

Contributions

Contributions are welcome! Feel free to share suggestions, enhancements, or bug fixes by opening an issue or creating a pull request.

Mentors

The project is managed by Vishal Muthuraja ([email protected]), Rohan Malavathu ([email protected]), and Dev Thakkar ([email protected]). Feel free to reach out to any of us for project-related inquiries.

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Creating compelling highlight reels or summaries of sports plays involves time-consuming video editing and voiceover work, requiring manual selection of key moments, cutting the video, and adding narration.

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