This project is currently under development. It aims to establish a real-time weather data processing system that captures weather conditions using WebSocket, processes and stores the data via a gRPC service in MongoDB, and forwards it to a RabbitMQ queue for further processing. The integration of WebSocket, gRPC, MongoDB, and RabbitMQ demonstrates a comprehensive approach to building scalable and efficient data processing systems.

• Real-Time Data Acquisition: Implement WebSocket to capture live weather data continuously.
• Efficient Data Processing and Storage: Use gRPC for data transmission between client and server, and MongoDB for storing the data effectively.
• Message Queuing: Integrate RabbitMQ to manage data flow and enable scalable system architecture.

Once completed, this system will serve multiple purposes:

• Providing real-time weather updates to users and systems.
• Serving as a backend service for weather data analysis and forecasting applications.
• Demonstrating a scalable architecture for real-time data processing which can be adapted to other domains.

This project is open for contributions:

1. Fork the repository.
2. Create your feature branch (git checkout -b feature/AmazingFeature).
3. Commit your changes (git commit -m 'Add some AmazingFeature').
4. Push to the branch (git push origin feature/AmazingFeature).
5. Open a pull request.