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Update +page.svelte
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davidh167 committed Dec 7, 2024
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<!-- Projects Grid -->
<div class="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-8 mt-10">
<!-- Project 1: Quimby -->
<a href="/projects/quimby" class="block" aria-label="Visit Quimby Project Page" role="link">
<!-- Project 1: Quimby-Chatbot -->
<a href="/projects/quimby" class="block" aria-label="Visit Quimby-Chatbot Project Page" role="link">
<div class="bg-gray-800 bg-opacity-80 shadow-lg rounded-lg p-6 text-center hover:bg-gray-700 hover:shadow-xl transition-all duration-300">
<h3 class="font-semibold text-lg">Quimby: Legislative NLP</h3>
<h3 class="font-semibold text-lg">Quimby-Chatbot: LLM-Powered Chatbot</h3>
<p class="text-sm mt-2">
Developed NLP pipelines for analyzing legislative data to identify contradictions in legislators' statements and policies.
Developed an LLM-powered chatbot with an ingrained personality, utilizing prompt engineering to refine its responses and enhance user engagement.
</p>
<ul class="list-disc list-inside text-left mt-4">
<li><strong>Tools:</strong> Python, SpaCy, LangChain, MySQL</li>
<li><strong>Impact:</strong> Supported public transparency and accountability in government.</li>
<li><strong>Tools:</strong> Python, SpaCy, LiberaChat IRC API</li>
<li><strong>Impact:</strong> Improved user interaction quality through personalized chatbot experiences.</li>
</ul>
</div>
</a>

<!-- Project 2: Ambiguity Detection -->
<a href="/projects/ambiguity-detection" class="block" aria-label="Visit Ambiguity Detection Project Page" role="link">
<!-- Project 2: Ambiguity Phenom Detection -->
<a href="/projects/ambiguity-detection" class="block" aria-label="Visit Ambiguity Phenom Detection Project Page" role="link">
<div class="bg-gray-800 bg-opacity-80 shadow-lg rounded-lg p-6 text-center hover:bg-gray-700 hover:shadow-xl transition-all duration-300">
<h3 class="font-semibold text-lg">Ambiguity Detection in NLP</h3>
<h3 class="font-semibold text-lg">Ambiguity Phenom Detection</h3>
<p class="text-sm mt-2">
Created a model for detecting ambiguous language in legislative texts, improving interpretability for stakeholders.
Designed a methodology to detect ambiguity in legislative texts, leveraging embedding techniques for data representation and validating the model's classification.
</p>
<ul class="list-disc list-inside text-left mt-4">
<li><strong>Tools:</strong> Python, NLTK, Transformer Models</li>
<li><strong>Impact:</strong> Enabled accurate analysis of complex, nuanced language in legal contexts.</li>
<li><strong>Tools:</strong> MySQL, Python, Selenium, REST APIs, PyPDF</li>
<li><strong>Impact:</strong> Enabled more accurate analysis of ambiguous language in legal texts, improving clarity for stakeholders.</li>
</ul>
</div>
</a>


<!-- Project 3: DisclosureDisco Pipeline -->
<a href="/projects/disclosure-disco" class="block" aria-label="Visit DisclosureDisco Project Page" role="link">
<div class="bg-gray-800 bg-opacity-80 shadow-lg rounded-lg p-6 text-center hover:bg-gray-700 hover:shadow-xl transition-all duration-300">
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