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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>About Project</title>
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/* ------ About Section ------ */
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/* ------ Technologies Section ------ */
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*/
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</style>
</head>
<body>
<!-- Main Container -->
<div class="main-container">
<!-- Header Section -->
<header>
<h1 class="hover">About Project</h1>
</header>
<!-- About Project Section -->
<section class="about">
<p>
In the digital era, information overload is a major challenge. Our <strong>AI for Smart Document
Summarization
and Automated Question Generation </strong> aims to simplify content processing by leveraging
advanced natural
language processing (NLP) techniques.
This project is designed for students, researchers, content creators, and professionals who need quick
insights from large volumes of data. By automating summarization and question generation, our AI
solution enhances productivity and knowledge retention effortlessly.
</p>
<p><strong>How It Works:</strong></p>
<ul>
<li>
Input β Paste text, enter a URL, or upload a document.
</li>
<li>
Processing β The AI extracts essential insights, removes redundancies, and formulates a structured
summary.
</li>
<li>
Output β Receive a well-structured summary and a set of AI-generated questions for further analysis.
</li>
</ul>
<p>
<p><strong>Key features include:</strong></p>
<ul>
<li>
Smart Summarization β Input any text, URL, or document, and our AI-powered system generates a
concise and meaningful summary.
</li>
<li>
Automated Question Generation β Transform lengthy articles into relevant questions, making it ideal
for study materials, research, and knowledge assessment.
</li>
</ul>
<p>
Developed using <strong>Streamlit</strong>, this project demonstrates cutting-edge technology with an
interactive and user-friendly interface.
</p>
</section>
<!-- Teechnologies Used Section -->
<section class="technologies">
<h2>Technologies Used</h2>
<div class="technology-card">
<!-- Row 1 -->
<div class="row">
<div class="tech-card">
<h4>Python</h4>
<p>
Used as the core programming language for implementing document summarization and automated question generation, leveraging NLP models and AI algorithms for efficient text processing.
</p>
</div>
<div class="tech-card">
<h4>HTML</h4>
<p>
Used to structure the web pages, including sections like "About Project," "Technologies Used," and user interaction areas, ensuring a clean and semantic layout.
</p>
</div>
</div>
<!-- Row 2 -->
<div class="row">
<div class="tech-card">
<h4>CSS</h4>
<p>
Utilized for styling the web interface, improving visual aesthetics, adding animations, and ensuring a responsive design across different devices.
</p>
</div>
<div class="tech-card">
<h4>JavaScript</h4>
<p>
Implemented interactive elements like real-time updates, animations, and user-friendly components to enhance the overall experience.
</p>
</div>
</div>
<!-- Row 3 -->
<div class="row">
<div class="tech-card">
<h4>Streamlit</h4>
<p>
Used to develop the web-based interface, allowing users to input text, URLs, or documents for summarization and question generation seamlessly.
</p>
</div>
<div class="tech-card">
<h4>Facebook-BART</h4>
<p>
A powerful transformer-based model used for text summarization and natural language understanding, ensuring high-quality summaries with contextual relevance.
</p>
</div>
</div>
<!-- Row 4 -->
<div class="row">
<div class="tech-card">
<h4>Transformers (Hugging Face)</h4>
<p>
Leverages pre-trained transformer models for advanced natural language processing tasks, optimizing summarization and question generation.
</p>
</div>
<div class="tech-card">
<h4>PDFMiner</h4>
<p>
Used for extracting text from PDF files, enabling document-based summarization and automated question generation without losing content integrity.
</p>
</div>
</div><!-- Row 5 -->
<div class="row">
<div class="tech-card">
<h4>Web Summarizer & Q&A Module</h4>
<p>
An AI-powered system designed to extract key insights from online content, generating concise summaries and relevant questions for better comprehension.
</p>
</div>
<div class="tech-card">
<h4>Text Processing</h4>
<p>
Handles raw text input efficiently, ensuring proper parsing, cleaning, and analysis before summarization and question generation.
</p>
</div>
</div>
<!-- Row 6 -->
<div class="row">
<div class="tech-card">
<h4>PDF Support</h4>
<p>
Enables users to upload and process PDF documents, extracting text to generate summaries and structured questions automatically.
</p>
</div>
<!-- <div class="tech-card">
<h4>Text Processing</h4>
<p>
Handles raw text input efficiently, ensuring proper parsing, cleaning, and analysis before summarization and question generation.
</p>
</div> -->
</div>
</div>
</section>
<!-- Developers Section -->
<section class="developers">
<h2>Developers</h2>
<div class="developer-card">
<div class="details">
<!-- Nishant -->
<div class="developer">
<p class="developer-name"><strong>Nishant Maity</strong></p>
<div class="social-icons">
<a href="https://www.linkedin.com/in/nishant-maity/" target="_blank">
<i class="fa-brands fa-linkedin fa-2xl"></i>
</a>
<a href="https://github.com/Nishant43S" target="_blank">
<i class="fa-brands fa-github fa-2xl"></i>
</a>
</div>
</div>
<!-- Yash -->
<div class="developer">
<p class="developer-name"><strong>Yash Sahu</strong></p>
<div class="social-icons">
<a href="https://www.linkedin.com/in/yashsahu02" target="_blank">
<i class="fa-brands fa-linkedin fa-2xl"></i>
</a>
<a href="https://github.com/yashsahu02" target="_blank">
<i class="fa-brands fa-github fa-2xl"></i>
</a>
</div>
</div>
</div>
</div>
</section>
</div>
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