FanFocusAI

FanFocusAI is a personalized MLB highlights experience application. It allows fans to select their favorite teams and players and receive personalized audio, video, and text digests of the latest highlights.

Features

• User Authentication: Login and Signup functionality.
• Personalized Dashboard: Users can select their favorite teams and players.
• Highlight Generation: Generate personalized audio, video, and text digests.
• Multi-language Support: Supports English, Spanish, and Japanese languages.
• Google Cloud Integration: Utilizes Google Cloud Services for data storage, AI models, and deployment.

Prerequisites

• Python 3.x
• Node.js and npm
• Google Cloud account with enabled APIs for Storage, Video Intelligence, Translation, and AI Platform.

Installation

Backend

1. Set Up Virtual Environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install Dependencies:

   pip install -r requirements.txt

3. Set Google Cloud Credentials: Download the service account key for your project and set the GOOGLE_APPLICATION_CREDENTIALS environment variable:

   export GOOGLE_APPLICATION_CREDENTIALS="path/to/your/service-account-file.json"

4. Run the Flask Application:

   python main.py

Frontend

1. Navigate to the Frontend Directory:

   cd frontend

2. Install Dependencies:

   npm install

3. Start the Development Server:

   npm start

Deployment

Google Cloud Functions

1. Open Cloud Shell.
2. Clone Your Repository:

   git clone https://github.com/your-username/your-repo.git
   cd your-repo

3. Deploy Cloud Function:

   gcloud functions deploy fanfocusai-api \
     --runtime python39 \
     --trigger-http \
     --allow-unauthenticated \
     --entry-point app \
     --region your-region

Usage

1. Access the Application:

   • Frontend: http://localhost:3000
   • Backend: http://localhost:8080

2. Test Endpoints:

   # Get player stats
   curl "http://localhost:8080/stats?player_id=player_id&season=2022"
   
   # Summarize text
   curl -X POST "http://localhost:8080/summarize" \
        -H "Content-Type: application/json" \
        -d '{"text": "Your text to summarize here."}'
   
   # Analyze video
   curl -X POST "http://localhost:8080/analyze" \
        -H "Content-Type: application/json" \
        -d '{"video_uri": "gs://path-to-your-video.mp4"}'

Contributing

1. Fork the repository.
2. Create a new branch.
3. Make your changes and commit them.
4. Push your changes to the branch.
5. Open a pull request.

License

This project is licensed under the MIT License.

Acknowledgements

• Google Cloud for providing various APIs and services.
• MLB Stats API for providing access to historical and present-day data feeds.