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<!DOCTYPE html> |
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<html lang="en"> |
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<head> |
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<meta charset="UTF-8"> |
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<meta name="viewport" content="width=device-width, initial-scale=1.0"> |
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<title>About</title> |
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<link rel="stylesheet" href="{{ url_for('static', filename='style/about.css') }}"> |
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<link rel="stylesheet" href="{{ url_for('static', filename='style/navbar.css') }}"> |
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<link rel="stylesheet" href="{{ url_for('static', filename='style/style.css') }}"> |
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</head> |
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<body> |
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{% extends 'layout.html' %} |
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{% block content %} |
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<div class="container"> |
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<h1>Developing an Interpretable Nepali Handwritten Character Recognizer</h1> |
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This project was driven by the desire to create a robust and informative character recognition system for the |
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Nepali |
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language. We believe that understanding how models make decisions is crucial for building trust and |
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transparency, |
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especially in culturally significant domains like handwriting recognition. |
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<h3>Technology Stack</h3> |
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<ul> |
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<li> |
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Programming language: Python |
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</li> |
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<li> |
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Deep learning libraries: PyTorch |
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</li> |
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<li> |
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Visualization tools:Matplotlib |
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</li> |
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<li> |
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Web Stack: FlaskI |
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</li> |
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</ul> |
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<h2>Metrices</h2> |
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<div id="confusion_matrix_cnt" style="width: 90%;"></div> |
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<h3>Classification Report</h3> |
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<div id="table-container"> |
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<table id="my-table"> |
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<thead> |
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<tr> |
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<th>Class</th> |
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<th>Precision</th> |
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<th>Recall</th> |
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<th>F1 score</th> |
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</tr> |
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</thead> |
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<tbody> |
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</tbody> |
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</table> |
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<button id="prev-btn">Previous</button> |
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<span id="page-info"></span> |
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<button id="next-btn">Next</button> |
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</div> |
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<script src="{{ url_for('static', filename='script/plotly.js') }}"></script> |
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<script src="{{ url_for('static', filename='script/metrices.js') }}"></script> |
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</div> |
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<script> |
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setIdActive("about-men"); |
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</script> |
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{% endblock %} |
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</body> |
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</html> |
