Welcome to the "Dumbanengue" food price predictor website repository. This repository contains the code for the Django-based website that interacts with the food price prediction model.

"Dumbanengue" is an initiative aimed at predicting food prices based on various parameters like market trends, historical data, and other relevant factors. This repository specifically deals with the frontend and backend of the website that facilitates user interaction with the predictive model.

To run the website locally, follow these steps:

1. Clone this repository: git clone https://github.com/HercoZauZau/Dumbanengue_Website.git
2. Navigate to the project directory: cd dumbanengue_website
3. Install dependencies: pip install -r requirements.txt
4. Run the Django server: python manage.py runserver
5. Access the website in your browser at http://localhost:8000

The predictive model code and related resources are hosted separately in the model repository. For accessing and working with the model, please refer to the following repository:

Dumbanengue Food Price Predictor Model Repository

As this repository is dedicated to the website aspect of the project, contributions related to the website's frontend, backend, user interface improvements, or bug fixes are welcome. However, for changes related to the predictive model itself, please refer to the model repository.

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

This project is licensed under the MIT License, allowing widespread use and modification while maintaining the original license reference.