Data collection for Speech to text

Data Engineering: Speech-to-text data collection with Kafka, Airflow, and Spark
Explore more about the challenge

Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Acknowledgements

About The Project

Getting Started

You can get a local copy up and running follow these simple example steps.

Installation

1. Clone the repo

   git clone https://github.com/Chang-10Academy/speech-to-text-data-collection.git

2. Install the setup.py

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
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

License

Distributed under the MIT License. See LICENSE for more information.

Project Link: https://github.com/Chang-10Academy/speech-to-text-data-collection.git

https://github.com/Chang-10Academy/speech-to-text-data-collection.git

Acknowledgements

• 10 Academy