Create a complete AI-Powered Cyberbullying Detection Portal web application using Python (Flask) with the following features:
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| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>About | CyberGuardian</title> | |
| <link rel="icon" type="image/x-icon" href="/static/favicon.ico"> | |
| <script src="https://cdn.tailwindcss.com"></script> | |
| <script src="https://unpkg.com/feather-icons"></script> | |
| </head> | |
| <body class="bg-gray-50"> | |
| <nav class="bg-blue-600 text-white shadow-lg"> | |
| <div class="max-w-6xl mx-auto px-4"> | |
| <div class="flex justify-between h-16"> | |
| <div class="flex items-center"> | |
| <i data-feather="shield" class="mr-2"></i> | |
| <span class="font-semibold text-xl">CyberGuardian</span> | |
| </div> | |
| <div class="hidden md:flex items-center space-x-4"> | |
| {% if current_user.is_authenticated %} | |
| {% if current_user.role == 'admin' %} | |
| <a href="/admin" class="px-3 py-2 hover:bg-blue-700 rounded-md">Admin</a> | |
| {% else %} | |
| <a href="/dashboard" class="px-3 py-2 hover:bg-blue-700 rounded-md">Dashboard</a> | |
| {% endif %} | |
| <a href="/about" class="px-3 py-2 bg-blue-700 rounded-md">About</a> | |
| <a href="/logout" class="px-3 py-2 hover:bg-blue-700 rounded-md flex items-center"> | |
| <i data-feather="log-out" class="mr-1"></i> Logout | |
| </a> | |
| {% else %} | |
| <a href="/about" class="px-3 py-2 bg-blue-700 rounded-md">About</a> | |
| <a href="/privacy" class="px-3 py-2 hover:bg-blue-700 rounded-md">Privacy</a> | |
| <a href="/login" class="px-3 py-2 bg-white text-blue-600 rounded-md font-medium">Login</a> | |
| {% endif %} | |
| </div> | |
| <div class="md:hidden flex items-center"> | |
| <button class="mobile-menu-button"> | |
| <i data-feather="menu"></i> | |
| </button> | |
| </div> | |
| </div> | |
| </div> | |
| </nav> | |
| <div class="max-w-4xl mx-auto px-4 py-12"> | |
| <div class="text-center mb-12"> | |
| <h1 class="text-4xl font-bold text-blue-800 mb-4">About CyberGuardian</h1> | |
| <p class="text-xl text-gray-600 max-w-2xl mx-auto"> | |
| Our mission is to create safer digital spaces through AI-powered toxicity detection. | |
| </p> | |
| </div> | |
| <div class="bg-white rounded-lg shadow-md p-8 mb-12"> | |
| <h2 class="text-2xl font-bold text-gray-800 mb-6">How It Works</h2> | |
| <div class="grid md:grid-cols-3 gap-8"> | |
| <div class="space-y-4"> | |
| <div class="bg-blue-100 w-12 h-12 rounded-full flex items-center justify-center"> | |
| <i data-feather="cpu" class="text-blue-600"></i> | |
| </div> | |
| <h3 class="text-lg font-semibold">AI-Powered Detection</h3> | |
| <p class="text-gray-600"> | |
| Using state-of-the-art NLP models, we analyze text for toxic patterns including cyberbullying, | |
| hate speech, and offensive language. | |
| </p> | |
| </div> | |
| <div class="space-y-4"> | |
| <div class="bg-blue-100 w-12 h-12 rounded-full flex items-center justify-center"> | |
| <i data-feather="activity" class="text-blue-600"></i> | |
| </div> | |
| <h3 class="text-lg font-semibold">Confidence Scoring</h3> | |
| <p class="text-gray-600"> | |
| Each analysis returns a confidence percentage indicating how likely the content is to be toxic, | |
| helping you make informed decisions. | |
| </p> | |
| </div> | |
| <div class="space-y-4"> | |
| <div class="bg-blue-100 w-12 h-12 rounded-full flex items-center justify-center"> | |
| <i data-feather="database" class="text-blue-600"></i> | |
| </div> | |
| <h3 class="text-lg font-semibold">Secure History</h3> | |
| <p class="text-gray-600"> | |
| All your analyses are stored securely for your reference, with no data shared externally. | |
| </p> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="bg-white rounded-lg shadow-md p-8 mb-12"> | |
| <h2 class="text-2xl font-bold text-gray-800 mb-6">Our Technology</h2> | |
| <div class="prose max-w-none"> | |
| <p> | |
| CyberGuardian leverages the <strong>unitary/toxic-bert</strong> model from Hugging Face's Transformers library, | |
| a state-of-the-art deep learning model fine-tuned specifically for toxicity detection. | |
| </p> | |
| <p class="mt-4"> | |
| The model analyzes text across multiple dimensions including: | |
| </p> | |
| <ul class="list-disc pl-5 mt-2"> | |
| <li>Explicit and implicit hate speech</li> | |
| <li>Offensive language and slurs</li> | |
| <li>Cyberbullying patterns</li> | |
| <li>Threatening language</li> | |
| </ul> | |
| <p class="mt-4"> | |
| With an accuracy rate exceeding 90% on benchmark datasets, our system provides reliable | |
| detection while minimizing false positives. | |
| </p> | |
| </div> | |
| </div> | |
| <div class="bg-white rounded-lg shadow-md p-8"> | |
| <h2 class="text-2xl font-bold text-gray-800 mb-6">Use Cases</h2> | |
| <div class="grid md:grid-cols-2 gap-8"> | |
| <div class="border-l-4 border-blue-500 pl-4"> | |
| <h3 class="text-lg font-semibold mb-2">Social Media Moderation</h3> | |
| <p class="text-gray-600"> | |
| Screen user-generated content before posting to maintain positive community standards. | |
| </p> | |
| </div> | |
| <div class="border-l-4 border-blue-500 pl-4"> | |
| <h3 class="text-lg font-semibold mb-2">Education</h3> | |
| <p class="text-gray-600"> | |
| Monitor school forums and messaging platforms to prevent cyberbullying among students. | |
| </p> | |
| </div> | |
| <div class="border-l-4 border-blue-500 pl-4"> | |
| <h3 class="text-lg font-semibold mb-2">Workplace Communication</h3> | |
| <p class="text-gray-600"> | |
| Maintain professional standards in internal communications and collaboration tools. | |
| </p> | |
| </div> | |
| <div class="border-l-4 border-blue-500 pl-4"> | |
| <h3 class="text-lg font-semibold mb-2">Gaming Communities</h3> | |
| <p class="text-gray-600"> | |
| Filter toxic chat messages to create more inclusive gaming environments. | |
| </p> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| <footer class="bg-gray-100 border-t"> | |
| <div class="max-w-6xl mx-auto px-4 py-8"> | |
| <div class="md:flex md:justify-between"> | |
| <div class="mb-8 md:mb-0"> | |
| <h2 class="text-lg font-semibold text-gray-900 mb-4">CyberGuardian</h2> | |
| <p class="text-gray-600 max-w-xs">Making online spaces safer with AI-powered toxicity detection.</p> | |
| </div> | |
| <div class="grid grid-cols-2 gap-8 sm:grid-cols-3"> | |
| <div> | |
| <h3 class="text-sm font-semibold text-gray-900 tracking-wider uppercase mb-4">Resources</h3> | |
| <ul class="space-y-2"> | |
| <li><a href="/about" class="text-gray-600 hover:text-blue-600">About</a></li> | |
| <li><a href="/privacy" class="text-gray-600 hover:text-blue-600">Privacy</a></li> | |
| </ul> | |
| </div> | |
| <div> | |
| <h3 class="text-sm font-semibold text-gray-900 tracking-wider uppercase mb-4">Legal</h3> | |
| <ul class="space-y-2"> | |
| <li><a href="/privacy" class="text-gray-600 hover:text-blue-600">Privacy Policy</a></li> | |
| <li><a href="#" class="text-gray-600 hover:text-blue-600">Terms</a></li> | |
| </ul> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="mt-8 pt-8 border-t border-gray-200 md:flex md:items-center md:justify-between"> | |
| <div class="flex space-x-6 md:order-2"> | |
| <a href="#" class="text-gray-400 hover:text-gray-500"> | |
| <i data-feather="twitter"></i> | |
| </a> | |
| <a href="#" class="text-gray-400 hover:text-gray-500"> | |
| <i data-feather="github"></i> | |
| </a> | |
| </div> | |
| <p class="mt-8 text-base text-gray-500 md:mt-0 md:order-1"> | |
| © 2023 CyberGuardian. All rights reserved. | |
| </p> | |
| </div> | |
| </div> | |
| </footer> | |
| <script>feather.replace();</script> | |
| </body> | |
| </html> | |