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title: HackAuton Winners
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              <h2 class="section-heading">2023 HackAuton Winners:</h2>
              <h3 class="section-subheading text-muted" style="margin: auto; margin-bottom: 50px; line-height: 20pt; width: 80vw;">Thank you to everyone who participated! We had some unique projects motivated by clever, intelligent students dedicated to make an impact with their work.</br>Check out the event's dedicated Github page <a href="https://github.com/autonlab/2023.hackAuton"> here</a>.</h3>
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          <h3>1st Place in AI Safety & Trust</h3>
          <h3 class="section-subheading text-muted" style="margin-top: 2px; margin-bottom: 15px;">Crowd Favorite!</h3>
          <h4>"DRAI: Trustworthy AI for explanations of patient prescriptions"</h4>
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              <li><i><b>Relevant Challenge Topics:</b></i> Patient Safety | AI Safety & Trust
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              <li><i><b>Team Members:</b></i> Robert Drevenyi, John Turner-Smith, Haochen Yang, Hayden Stec
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        <h3>1st Place in Patient Safety</h3>
        <h3 class="section-subheading text-muted" style="margin-top: 2px; margin-bottom: 15px;">Best in Show!</h3>
        <h4>"Prescription Evaluation with GPT and openFDA"</h4>
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            <li><i><b>Relevant Challenge Topics:</b></i> Patient Safety
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            <li><i><b>Team Members:</b></i> Charlie Sun, Minh Tran
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      <h3>1st Place in Green & Sustainable AI</h3>
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      <h4>"EdgeML: Enhancing On-Device ML with Quantised Models and Out-of-Distribution detection"</h4>
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          <li><i><b>Relevant Challenge Topics:</b></i> AI Safety & Trust | Green/Sustainable AI
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          <li><i><b>Team Members:</b></i> Aditya Bansal, Eshani Agrawal
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      <h3>Honorable Mentions:</h3>
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      <h5>"GPT For All"</h5>
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          <li><i><b>Relevant Challenge Topics:</b></i> Reducing Development Cycle Time | Green/Sustainable AI | AI Safety & Trust
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          <li><i><b>Team Members:</b></i> Aditya Thurvas, Heena Chandak, Shreya Kale
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      <h5>"Improving patient safety among ICU populations through causal discovery"</h5>
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          <li><i><b>Relevant Challenge Topics:</b></i> Patient Safety
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          <li><i><b>Team Members:</b></i> Kevin Bello, Rodela Rozbu, Vernun Luk, Winn Leelamanthep
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      <h5>"Interpretable Medical Image Classification using White-Box Transformers"</h5>
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          <li><i><b>Relevant Challenge Topics:</b></i> AI Safety & Trust | Patient Safety
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          <li><i><b>Team Members:</b></i> Saaketh Medepalli, Sai Koushik Guntakanti, Hemit Shah
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