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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
    <title>PARROT - Platform for AI-guided Radiation Oncology Treatment</title>
    <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css">
    <style>
        body {
            padding-top: 56px;
        }

        .parrot-logo {
            max-width: 600px;
            float: right;
            margin: 20px;
        }
    </style>
</head>
<body>

<nav class="navbar navbar-expand-lg navbar-dark bg-dark fixed-top">
    <a class="navbar-brand" href="#">PARROT</a>
    <button class="navbar-toggler" type="button" data-toggle="collapse" data-target="#navbarNav"
            aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation">
        <span class="navbar-toggler-icon"></span>
    </button>
    <div class="collapse navbar-collapse" id="navbarNav">
        <ul class="navbar-nav">
            <li class="nav-item active">
                <a class="nav-link" href="#">Home</a>
            </li>
            <li class="nav-item">
                <a class="nav-link" href="documentation.html">Documentation</a>
            </li>
            <li class="nav-item">
                <a class="nav-link" href="contact.html">Contact</a>
            </li>
        </ul>
    </div>
</nav>

<div class="container mt-5">
    <div class="row">
        <div class="col-lg-8">
            <h1>Welcome to PARROT</h1>
            <p>
                PARROT, which stands for Platform for ARtificial intelligence guided Radiation Oncology Treatment,
                is a user-friendly, free, and open-source web platform. It allows users to visualize DICOM files, run AI models,
                display and evaluate predictions easily. The platform includes several trained state-of-the-art dose prediction
                and contour segmentation models. Users can also add their own models using the embedded code editor.
            </p>
            <p>
                The app consists of a frontend built in React JavaScript, including the graphical interface with a DICOM viewer,
                a selection panel of AI models, an editor of contours predictions, and evaluation tools. The backend is built with Flask
                to handle the predictions of AI models.
            </p>
        </div>
        <div class="col-lg-4">
            <img src="parrot-logo.jpg" alt="PARROT Logo" class="parrot-logo">
        </div>
    </div>
</div>

<script src="https://code.jquery.com/jquery-3.5.1.slim.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@popperjs/[email protected]/dist/umd/popper.min.js"></script>
<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/js/bootstrap.min.js"></script>

</body>
</html>