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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>RNDas Binary Recognizer</title>
<link rel="icon" type="image/x-icon" href="assets/img/favicon.ico">
<link rel="stylesheet" href="assets/css/tutorialstyle.css">
<link rel="stylesheet" href= "https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.1.1/css/all.min.css" integrity="sha512-KfkfwYDsLkIlwQp6LFnl8zNdLGxu9YAA1QvwINks4PhcElQSvqcyVLLD9aMhXd13uQjoXtEKNosOWaZqXgel0g==" crossorigin="anonymous" referrerpolicy="no-referrer" />
<script src= "https://kit.fontawesome.com/c353d71a36.js" crossorigin="anonymous"></script>
<script async defer src="https://buttons.github.io/buttons.js"></script>
</head>
<body>
<nav class="navbar">
<div class="navbar-container">
<div class="navbar-logo">
<img src="assets/img/binary-code.png" alt="Logo">
<span style="font-family:'Segoe UI', Tahoma, Geneva, Verdana, sans-serif">RNDas Binary Recognizer</span>
</div>
<ul class="navbar-links">
<li><a href="/Binary-Recognizer/index.html">Home Page</a></li>
<li><a href="/Binary-Recognizer/tutorial.html">How to Use</a></li>
<li><a href="/Binary-Recognizer/about.html">About App</a></li>
<li><a href="https://rndastech.github.io/">About Me</a></li>
</ul>
<button class="contact-button" onclick="location.href='mailto:rndas2004@gmail.com'" type="button">Contact Me</button>
</div>
</nav>
<div class = "tutorial">
<h2>RNDas Binary Recognizer Tutorial</h2>
<h3 style="color:#5f5f5f">- Ritesh N Das -</h3>
<img src="assets/img/app.png" width="50%" height="50%" alt="ML Model Making A Prediction">
<p>Home Screen</p>
<pre style="font-family:'Gill Sans', 'Gill Sans MT', Calibri, 'Trebuchet MS', sans-serif; font-size: large;">Welcome to RNDas Binary Recognizer. Let's get started quickly with the tutorial.</pre>
<img src="assets/img/app2.png" width="50%" height="50%" alt="ML Model Making A Prediction">
<p>Different Components of Website</p>
<div class="section" style="font-family:'Segoe UI', Tahoma, Geneva, Verdana, sans-serif">
<h3>Interface Overview</h3>
<ol>
<li>Pencil Tool: Select this tool to draw your binary numbers and mathematical symbols.</li>
<li>Eraser Tool: Select this tool to erase any mistakes on the canvas.</li>
<li>Clear Canvas Button: Clears the entire canvas for a fresh start.</li>
<li>Compute Button: Processes the handwritten input and performs the binary operation.</li>
<li>GitHub Repository Link: Redirects to the developer's GitHub repository for the source code and additional information.</li>
<li>Drawing Canvas: The area where you draw binary numbers and symbols.</li>
<li>Binary Operation Display: Shows the binary numbers and the result of the operation.</li>
<li>Decimal Operation Display: Shows the decimal equivalent of the binary operation and its result.</li>
</ol>
<h3>How to Use the App</h3>
<h4>Step 1: Select the Pencil Tool</h4>
<p>Click on the Pencil button to start drawing on the canvas.</p>
<h4>Step 2: Draw Binary Numbers and Symbols</h4>
<p>Use your mouse to draw binary numbers (0 or 1) and mathematical symbols (+, -, X, ÷) on the Drawing Canvas.</p>
<p>Ensure your handwriting is clear and distinct for accurate recognition.</p>
<h4>Step 3: Correct Mistakes (Optional)</h4>
<p>If you make a mistake, click on the Eraser button and erase the incorrect part on the canvas.</p>
<p>After erasing, you can switch back to the pencil tool to redraw the correct numbers or symbols.</p>
<h4>Step 4: Clear the Canvas (Optional)</h4>
<p>To clear the entire canvas, click on the Clear Canvas button. This will remove all drawings and allow you to start over.</p>
<h4>Step 5: Compute the Operation</h4>
<p>Once you have drawn the binary numbers and the operation symbol, click on the Compute button.</p>
<p>The app will process your handwriting and display the binary operation and its result in the Binary Operation Display.</p>
<p>The corresponding decimal values and their operation result will be shown in the Decimal Operation Display.</p>
</div>
<img src="assets/img/prediction.png" width="50%" height="50%" alt="ML Model Making A Prediction">
<p>A Complete Prediction</p>
<div class="section" style="font-family:'Segoe UI', Tahoma, Geneva, Verdana, sans-serif">
<h3>Note:</h3>
<p><b>Stay within the Canvas:</b> Ensure that you do not move the mouse outside of the canvas area while drawing.</p>
<p><b>Grid Allocation:</b> Write each digit or symbol within its allocated grid to ensure accurate recognition.</p>
<p><b>Standard Handwritten Conventions:</b> Based on standard human handwritng conventions,<br>the following symbols have been alloted for arithmetic operations:</p>
<p><b>+</b> for addition<br>
<b>-</b> for subtraction<br>
<b>X</b> for multiplication<br>
<b>÷</b> for division</p>
</div>
</div>
</body>
<footer>
<footer style="font-family:Arial, Helvetica, sans-serif">
<div class="footer-container">
<div class="footer-section about">
<h2>About Me</h2>
<p>Specialist @ CodeForces<br>4* @ CodeChef<br>NTSE Scholar<br>IIIT Allahabad '27</p>
</div>
<div class="footer-section links">
<h2>Quick Links</h2>
<ul>
<li><a href="/Binary-Recognizer/index.html">Home Page</a></li>
<li><a href="https://rndastech.github.io/">About Me</a></li>
<li><a href="https://github.com/rndastech">GitHub</a></li>
<li><a href="https://codeforces.com/profile/rn_das_2004">CodeForces</a></li>
</ul>
</div>
<div class="footer-section social">
<h2>Follow Me</h2>
<div class="social-links">
<a href="https://github.com/rndastech"><i class="fab fa-github"></i></a>
<a href="https://www.instagram.com/rndascode/"><i class="fab fa-instagram"></i></a>
<a href="https://www.linkedin.com/in/ritesh-narayan-das-6196b3268/"><i class="fab fa-linkedin-in"></i></a>
</div>
</div>
</div>
<div class="footer-bottom">
© 2024 Ritesh Narayan Das
</div>
</footer>
</footer>
</html>