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| <head> | |
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| <title>Technology Stack - NIC Project</title> | |
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| </style> | |
| </head> | |
| <!-- Add dark mode background/text for body base --> | |
| <body class="bg-gray-50 dark:bg-gray-900 min-h-screen flex flex-col text-gray-900 dark:text-gray-200"> | |
| <!-- Header --> | |
| <header class="bg-white dark:bg-gray-800 shadow-sm sticky top-0 z-50"> | |
| <div class="container mx-auto px-4 py-3 flex items-center justify-between"> | |
| <div class="flex items-center"> | |
| <a href="index.html" class="text-2xl font-['Pacifico'] text-primary dark:text-blue-400 mr-8" data-lang-en="AI Text Tools" data-lang-hi="एआई टेक्स्ट उपकरण">AI Text Tools</a> | |
| <!-- *** START: Updated Navigation Bar *** --> | |
| <nav id="mainNav" class="hidden md:flex space-x-6"> | |
| <a href="index.html" class="nav-link hover:text-primary dark:hover:text-blue-400 text-gray-600 dark:text-gray-300" data-lang-en="Home" data-lang-hi="होम">Home</a> | |
| <!-- Assuming recognizer.html is the main tool page, link from index.html might be better --> | |
| <a href="recognizer.html" class="nav-link hover:text-primary dark:hover:text-blue-400 text-gray-600 dark:text-gray-300" data-lang-en="Recognize" data-lang-hi="पहचानें">Recognize</a> | |
| <!-- Assuming examples.html exists --> | |
| <a href="examples.html" class="nav-link hover:text-primary dark:hover:text-blue-400 text-gray-600 dark:text-gray-300" data-lang-en="Examples" data-lang-hi="उदाहरण">Examples</a> | |
| <!-- Assuming technology.html exists --> | |
| <a href="technology.html" class="nav-link text-primary dark:text-blue-400 font-medium" data-lang-en="Technology" data-lang-hi="तकनीक">Technology</a> | |
| <!-- Assuming about.html exists --> | |
| <a href="about.html" class="nav-link hover:text-primary dark:hover:text-blue-400 text-gray-600 dark:text-gray-300" data-lang-en="About" data-lang-hi="बारे में">About</a> | |
| <!-- Link to contact.html --> | |
| <a href="contact.html" class="nav-link hover:text-primary dark:hover:text-blue-400 text-gray-600 dark:text-gray-300" data-lang-en="Contact" data-lang-hi="संपर्क">Contact</a> | |
| <!-- Active link for this page --> | |
| <a href="feedback.html" class="nav-link hover:text-primary dark:hover:text-blue-400 text-gray-600 dark:text-gray-300" data-lang-en="Feedback" data-lang-hi="प्रतिक्रिया">Feedback</a> | |
| </nav> | |
| </div> | |
| <!-- Right side header items --> | |
| <div class="flex items-center space-x-4"> | |
| <!-- Language Switch --> | |
| <div class="items-center space-x-2 hidden md:flex"> | |
| <span class="text-sm text-gray-600 dark:text-gray-400">EN</span> | |
| <label class="custom-switch"> | |
| <!-- *** Add ID: languageToggle *** --> | |
| <input type="checkbox" id="languageToggle" class="custom-switch-input"> | |
| <span class="custom-switch-slider"></span> | |
| </label> | |
| <span class="text-sm text-gray-600 dark:text-gray-400 hindi-font">हिंदी</span> | |
| </div> | |
| <!-- Theme Switch --> | |
| <div class="items-center space-x-2 hidden md:flex"> | |
| <span class="text-sm text-gray-600 dark:text-gray-400"><i class="ri-sun-line"></i></span> | |
| <label class="custom-switch"> | |
| <!-- *** Add ID: themeToggle *** --> | |
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| <span class="text-sm text-gray-600 dark:text-gray-400"><i class="ri-moon-line"></i></span> | |
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| <!-- User/Notification Icons (Keep as placeholders) --> | |
| <div class="w-10 h-10 flex items-center justify-center bg-gray-100 dark:bg-gray-700 rounded-full cursor-pointer" title="User Profile (Placeholder)"> | |
| <i class="ri-user-line text-gray-600 dark:text-gray-300"></i> | |
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| <div class="w-10 h-10 flex items-center justify-center relative cursor-pointer" title="Notifications (Placeholder)"> | |
| <i class="ri-notification-3-line text-gray-600 dark:text-gray-300"></i> | |
| <span class="absolute top-0 right-0 bg-red-500 text-white text-xs w-5 h-5 flex items-center justify-center rounded-full">3</span> | |
| </div> | |
| <!-- Mobile Menu Button (Placeholder) --> | |
| <button class="md:hidden w-10 h-10 flex items-center justify-center" aria-label="Toggle Menu"> | |
| <i class="ri-menu-line text-gray-600 dark:text-gray-300 text-xl"></i> | |
| </button> | |
| </div> | |
| </div> | |
| </header> | |
| <!-- Main Content Area --> | |
| <main class="flex-grow"> | |
| <div class="container mx-auto px-4 py-8"> | |
| <div class="max-w-3xl mx-auto"> | |
| <div class="bg-white dark:bg-gray-800 rounded-lg shadow-md border border-gray-200 dark:border-gray-700 overflow-hidden"> | |
| <div class="px-6 py-4 bg-gray-50 dark:bg-gray-700 border-b border-gray-200 dark:border-gray-600"> | |
| <h2 class="text-xl font-semibold text-gray-800 dark:text-white flex items-center"> | |
| <i class="ri-flask-line mr-2 text-primary text-2xl"></i> <!-- Flask icon or other relevant icon --> | |
| Technology Stack & Methodology | |
| </h2> | |
| </div> | |
| <div class="p-6 md:p-8 space-y-6 text-gray-700 dark:text-gray-300 leading-relaxed"> | |
| <h3 class="text-2xl font-semibold text-gray-900 dark:text-white mb-4">Core Components</h3> | |
| <div class="space-y-4"> | |
| <h4 class="text-lg font-semibold text-gray-800 dark:text-white pt-2">1. Deep Learning Model</h4> | |
| <p> | |
| The core recognition engine relies on a deep neural network architecture commonly used for sequence recognition tasks, particularly OCR. This typically involves: | |
| </p> | |
| <ul class="list-disc list-inside space-y-1 pl-4 text-gray-700 dark:text-gray-300"> | |
| <li><strong>Convolutional Neural Network (CNN) Layers:</strong> These layers act as feature extractors, automatically learning relevant visual patterns (like strokes, curves, loops) directly from the pixel data of the input word images.</li> | |
| <li><strong>Recurrent Neural Network (RNN) Layers:</strong> Long Short-Term Memory (LSTM) or Gated Recurrent Unit (GRU) layers are often used after the CNN. They process the sequence of features extracted along the width of the image, capturing contextual information and dependencies between different parts of the word. Bidirectional RNNs are commonly employed to consider context from both left-to-right and right-to-left.</li> | |
| <li><strong>Connectionist Temporal Classification (CTC) Loss:</strong> This loss function is essential for training OCR models without requiring pre-segmented character locations. It calculates the probability of the predicted sequence given the input image features, summing over all possible alignments between the input sequence and the target text label.</li> | |
| </ul> | |
| <p class="text-sm text-gray-600 dark:text-gray-400 italic mt-2"> | |
| <em>Specific Library Used: TensorFlow 1.15 (as indicated by logs)</em> | |
| </p> | |
| <!-- Optional: Model Diagram Placeholder --> | |
| <!-- <div class="my-4 p-4 border rounded-md bg-gray-50 text-center text-gray-500">Model Architecture Diagram Placeholder</div> --> | |
| </div> | |
| <hr class="my-6 border-gray-200 dark:border-gray-600"> | |
| <div class="space-y-4"> | |
| <h4 class="text-lg font-semibold text-gray-800 dark:text-white">2. Image Preprocessing</h4> | |
| <p> | |
| Raw input images are processed before being fed into the neural network to ensure consistency and optimal performance. Steps (handled by `SamplePreprocessor.py`) include: | |
| </p> | |
| <ul class="list-disc list-inside space-y-1 pl-4 text-gray-700 dark:text-gray-300"> | |
| <li><strong>Grayscale Conversion:</strong> Converting the image to a single channel (grayscale) reduces complexity.</li> | |
| <li><strong>Resizing:</strong> Images are typically resized to a fixed height (e.g., 32 or 64 pixels) while maintaining the aspect ratio. Width may vary or be padded to a maximum length.</li> | |
| <li><strong>Normalization:</strong> Pixel values are scaled to a standard range (e.g., [0, 1] or [-1, 1]) to stabilize training.</li> | |
| <li><em>(Mention any other significant steps like binarization, slant correction if applicable)</em></li> | |
| </ul> | |
| <p class="text-sm text-gray-600 dark:text-gray-400 italic mt-2"> | |
| <em>Primary Library Used: OpenCV (`cv2`)</em> | |
| </p> | |
| </div> | |
| <hr class="my-6 border-gray-200 dark:border-gray-600"> | |
| <div class="space-y-4"> | |
| <h4 class="text-lg font-semibold text-gray-800 dark:text-white">3. Backend Framework</h4> | |
| <p> | |
| The server-side logic, API handling, and coordination are managed by **Flask**, a Python microframework known for its simplicity and flexibility. Flask's responsibilities in this project include: | |
| </p> | |
| <ul class="list-disc list-inside space-y-1 pl-4 text-gray-700 dark:text-gray-300"> | |
| <li>Defining URL routes (e.g., <code>/</code>, <code>/recognize</code>, <code>/predict</code>, <code>/api/examples</code>).</li> | |
| <li>Handling HTTP requests (GET for pages, POST for predictions).</li> | |
| <li>Receiving and securely saving uploaded image files.</li> | |
| <li>Calling the Python functions in <code>main.py</code> to trigger image preprocessing and model inference.</li> | |
| <li>Formatting the prediction results into JSON for the API endpoint.</li> | |
| <li>Rendering HTML templates (using the Jinja2 engine) to display web pages.</li> | |
| <li>Serving static assets like CSS, JavaScript, and images.</li> | |
| </ul> | |
| </div> | |
| <hr class="my-6 border-gray-200 dark:border-gray-600"> | |
| <div class="space-y-4"> | |
| <h4 class="text-lg font-semibold text-gray-800 dark:text-white">4. Frontend Interface</h4> | |
| <p> | |
| The user interacts with the application through a web interface built using: | |
| </p> | |
| <ul class="list-disc list-inside space-y-1 pl-4 text-gray-700 dark:text-gray-300"> | |
| <li><strong>HTML5:</strong> Provides the fundamental structure and content of the web pages.</li> | |
| <li><strong>Tailwind CSS:</strong> A utility-first CSS framework used for rapidly building the user interface. It provides low-level utility classes (like <code>p-6</code>, <code>rounded-lg</code>, <code>text-center</code>, <code>font-semibold</code>, <code>hidden</code>) to style elements directly in the HTML markup, promoting consistency and custom design without writing extensive custom CSS.</li> | |
| <li><strong>Vanilla JavaScript:</strong> Handles all client-side interactivity, including: | |
| <ul class="list-['○'] list-inside space-y-1 pl-6 mt-1"> | |
| <li>Managing file input selection and example image clicks.</li> | |
| <li>Displaying image previews.</li> | |
| <li>Making asynchronous API calls (<code>fetch</code>) to the Flask backend's <code>/predict</code> endpoint to send the image data.</li> | |
| <li>Receiving and parsing the JSON response from the backend.</li> | |
| <li>Dynamically updating the HTML to show prediction results, loading states, or error messages.</li> | |
| <li>Handling basic UI state changes (e.g., enabling/disabling buttons).</li> | |
| </ul> | |
| </li> | |
| <li><strong>Remixicon / Google Fonts:</strong> Used for icons and specific typography (Inter, Noto Sans Devanagari, Pacifico).</li> | |
| </ul> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </main> | |
| <!-- Footer --> | |
| <footer class="bg-gray-900 text-gray-400 py-12"> <!-- Adjusted footer text color --> | |
| <div class="container mx-auto px-4"> | |
| <div class="grid grid-cols-1 md:grid-cols-4 gap-8"> | |
| <div> | |
| <!-- Add data-lang attributes to footer elements if needed --> | |
| <a href="/" class="text-2xl font-['Pacifico'] text-white mb-4 inline-block" data-lang-en="HindiOCR" data-lang-hi="हिन्दी ओसीआर">HindiOCR</a> | |
| <p class="mb-4 text-sm" data-lang-en="Transforming handwritten Hindi documents into digital text." data-lang-hi="हस्तलिखित हिंदी दस्तावेज़ों को डिजिटल टेक्स्ट में बदलना।">Transforming handwritten Hindi documents into digital text.</p> | |
| <div class="flex space-x-4"> | |
| <a href="#" class="hover:text-white" title="GitHub (Placeholder)"><i class="ri-github-fill"></i></a> | |
| <a href="#" class="hover:text-white" title="LinkedIn (Placeholder)"><i class="ri-linkedin-box-fill"></i></a> | |
| </div> | |
| </div> | |
| <div> | |
| <h3 class="text-lg font-medium text-white mb-4" data-lang-en="Quick Links" data-lang-hi="त्वरित लिंक्स">Quick Links</h3> | |
| <ul class="space-y-2 text-sm"> | |
| <li><a href="/" class="hover:text-white" data-lang-en="Home" data-lang-hi="होम">Home</a></li> | |
| <li><a href="/recognize" class="hover:text-white" data-lang-en="Recognize" data-lang-hi="पहचानें">Recognize</a></li> | |
| <li><a href="/examples" class="hover:text-white" data-lang-en="Examples" data-lang-hi="उदाहरण">Examples</a></li> | |
| <li><a href="/technology" class="hover:text-white" data-lang-en="Technology" data-lang-hi="तकनीक">Technology</a></li> | |
| <li><a href="/about" class="hover:text-white" data-lang-en="About" data-lang-hi="बारे में">About</a></li> | |
| </ul> | |
| </div> | |
| <div> | |
| <h3 class="text-lg font-medium text-white mb-4" data-lang-en="Resources" data-lang-hi="संसाधन">Resources</h3> | |
| <ul class="space-y-2 text-sm"> | |
| <li><a href="#" class="hover:text-white" data-lang-en="Documentation (TBD)" data-lang-hi="प्रलेखन (TBD)">Documentation (TBD)</a></li> | |
| <li><a href="#" class="hover:text-white" data-lang-en="GitHub Repo (Link)" data-lang-hi="गिटहब रेपो (लिंक)">GitHub Repo (Link)</a></li> | |
| <li><a href="#" class="hover:text-white" data-lang-en="Support (TBD)" data-lang-hi="समर्थन (TBD)">Support (TBD)</a></li> | |
| </ul> | |
| </div> | |
| <div> | |
| <h3 class="text-lg font-medium text-white mb-4" data-lang-en="Contact (Project)" data-lang-hi="संपर्क (परियोजना)">Contact (Project)</h3> | |
| <ul class="space-y-2 text-sm"> | |
| <li class="flex items-start"> | |
| <i class="ri-mail-line mt-1 mr-2"></i> | |
| <span>khansamayashaswini@gmail.com</span> | |
| </li> | |
| <li class="flex items-center"> | |
| <i class="ri-building-line mr-2"></i> | |
| <span>MATS University,Raipur / NIC Durg</span> | |
| </li> | |
| </ul> | |
| </div> | |
| </div> | |
| <!-- Copyright --> | |
| <div class="border-t border-gray-700 mt-8 pt-8 text-center"> | |
| <p class="text-sm">© 2025 Yashaswini khansama | Final Year Project | NIC</p> | |
| </div> | |
| </div> | |
| </footer> | |
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| <!-- Base Theme/Language Script --> | |
| <script> | |
| // --- Theme Toggle --- | |
| const themeToggle = document.getElementById('themeToggle'); | |
| const htmlElement = document.documentElement; // Target <html> tag | |
| // Function to apply theme based on preference | |
| function applyTheme(isDark) { | |
| if (isDark) { | |
| htmlElement.classList.add('dark'); | |
| if(themeToggle) themeToggle.checked = true; | |
| console.log("Theme applied: dark"); | |
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| htmlElement.classList.remove('dark'); | |
| if(themeToggle) themeToggle.checked = false; | |
| console.log("Theme applied: light"); | |
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| // Check localStorage on load | |
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| console.log("Applying language:", lang); | |
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| } | |
| }); | |
| // Update toggle state | |
| if (languageToggle) languageToggle.checked = (lang === 'hi'); | |
| // Save preference | |
| localStorage.setItem('language', lang); | |
| } | |
| // Check localStorage on load for language | |
| const savedLang = localStorage.getItem('language') || 'en'; // Default to English | |
| applyLanguage(savedLang); | |
| // Add listener to language toggle button | |
| if (languageToggle) { | |
| languageToggle.addEventListener('change', (event) => { | |
| const newLang = event.target.checked ? 'hi' : 'en'; | |
| applyLanguage(newLang); | |
| }); | |
| } else { | |
| console.warn("Language toggle button not found."); | |
| } | |
| </script> | |
| <!-- Block for page-specific scripts --> | |
| </body> | |
| </html> |