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This repository contains the codebase for a dynamic web application showcasing data science consulting services for agriculture and aquaculture. Built with HTML, CSS, and JavaScript, the project features a structured layout, responsive design, and functionality for user interaction, including a contact form and SEO optimization.

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Data Science Solutions Web Project for Agriculture and Aquaculture

Welcome to the repository containing the codebase for a dynamic web page designed to showcase data science consulting services tailored to agriculture and aquaculture. This website includes sections for services, portfolio, use cases, and a contact form—everything a forward-thinking consulting service needs to engage clients and convey impact.

Logo de ScienceMetrics

Project Structure

  • index.html: The main HTML page for structuring content and navigation.
  • css/styles.css: Defines the site's visual styling and layout.
  • js/scripts.js: JavaScript logic for interactive features.
  • images/: Folder containing site assets like logos, icons, and portfolio images.
  • sitemap.xml and robots.txt: Files to optimize SEO and manage search engine behavior.
  • formulario.php: Backend script for processing the contact form submissions.

Key Technologies

  • HTML5 and CSS3: For building the page's structure and styling.
  • JavaScript: Adding interactive elements and dynamic user experience.
  • PHP: Handling backend form submissions.
  • SEO Optimization: Implemented with sitemap.xml and robots.txt to improve search engine visibility.

Project Setup

To run this project locally, follow these steps:

  1. Clone the repository:

    git clone https://github.com/username/DataScienceWebConsulting.git
    cd DataScienceWebConsulting
  2. Run a Local Server: Since this project uses PHP for form handling, it’s best to use a local server. You can set up with tools like XAMPP or WAMP for local testing.

Contribution Guidelines

To contribute to this project:

  1. Fork the repository.
  2. Create a new branch:
    git checkout -b feature/your-feature
  3. Make your changes and commit:
    git commit -am 'Add a new feature'
  4. Push to your branch:
    git push origin feature/your-feature
  5. Create a pull request.

License

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International. This license allows for sharing and adapting the project non-commercially, as long as credit is given to the original creator.

About

This repository contains the codebase for a dynamic web application showcasing data science consulting services for agriculture and aquaculture. Built with HTML, CSS, and JavaScript, the project features a structured layout, responsive design, and functionality for user interaction, including a contact form and SEO optimization.

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