Flow Optimizer

This project is a flow optimizer that uses FastAPI to create a web API, along with libraries like scikit-learn, networkx, and ortools to solve optimization problems.

Technologies Used

FastAPI: A framework for building fast and efficient APIs.
Uvicorn: An ASGI server to run the FastAPI application.
Scikit-learn: A library for machine learning.
NetworkX: A library for the creation, manipulation, and study of complex networks.
OR-Tools: A set of optimization tools from Google.

Installation

To install the project dependencies, run:

pip install -r requirements.txt

Running the Application

To start the server, use the following command:

uvicorn src.backend.main:app --reload

Project Structure

otimizador_fluxo/
│
├── requirements.txt
├── optimization.py
└── ...

Contribution

Contributions are welcome! Feel free to open issues or pull requests.

License

This project is licensed under the MIT License.