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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</title>
<link rel="stylesheet" href="{{ url_for('static', filename='style/about.css') }}">
<link rel="stylesheet" href="{{ url_for('static', filename='style/navbar.css') }}">
<link rel="stylesheet" href="{{ url_for('static', filename='style/style.css') }}">
</head>
<body>
{% extends 'layout.html' %}
{% block content %}
<div class="container">
<h1>Developing an Interpretable Nepali Handwritten Character Recognizer</h1>
This project was driven by the desire to create a robust and informative character recognition system for the
Nepali
language. We believe that understanding how models make decisions is crucial for building trust and
transparency,
especially in culturally significant domains like handwriting recognition.
<h3>Technology Stack</h3>
<ul>
<li>
Programming language: Python
</li>
<li>
Deep learning libraries: PyTorch
</li>
<li>
Visualization tools:Matplotlib
</li>
<li>
Web Stack: FlaskI
</li>
</ul>
<!-- <h3>Future Plans</h3>
- Expanding character set recognition
- Enhancing interpretability methods
- Integrating with educational or assistive technologies
We are committed to advancing this project and its capabilities. We welcome your feedback and collaboration! -->
<h2>Metrices</h2>
<div id="confusion_matrix_cnt" style="width: 90%;"></div>
<h3>Classification Report</h3>
<div id="table-container">
<table id="my-table">
<thead>
<tr>
<th>Class</th>
<th>Precision</th>
<th>Recall</th>
<th>F1 score</th>
</tr>
</thead>
<tbody>
<!-- Table rows will be added here -->
</tbody>
</table>
<!-- Pagination buttons -->
<button id="prev-btn">Previous</button>
<span id="page-info"></span>
<button id="next-btn">Next</button>
</div>
<script src="{{ url_for('static', filename='script/plotly.js') }}"></script>
<script src="{{ url_for('static', filename='script/metrices.js') }}"></script>
</div>
<script>
setIdActive("about-men");
</script>
{% endblock %}
</body>
</html> |