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      <title>AI Nutrition Grader</title>
      <link>https://gfriedman77.github.io/project/cnn/</link>
      <pubDate>Sat, 20 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://gfriedman77.github.io/project/cnn/</guid>
      <description>&lt;p&gt;Built a CNN with transfer learning to classify nutrition data. Applied image recognition to health analytics and pitched an app concept with a business plan.&lt;/p&gt;
&lt;p&gt;&amp;ndash;&lt;/p&gt;
&lt;p&gt;The &amp;ldquo;AI nutrition grader&amp;rdquo; builds upon &amp;ldquo;Presenting Nutritrack,&amp;rdquo; a project that won my team an &lt;strong&gt;AI app design pitch competition&lt;/strong&gt; when we presented a custom CNN &lt;strong&gt;proof-of-concept&lt;/strong&gt; and discussed our business plan.&lt;/p&gt;
&lt;p&gt;The model built for this project, unlike the Nutritrack custom CNN, is a &lt;strong&gt;transfer learning&lt;/strong&gt; design. The source for the data is the &lt;em&gt;Nutrition5K&lt;/em&gt; dataset (&lt;strong&gt;RGB images of food&lt;/strong&gt; on white plates). This model includes an &lt;strong&gt;augmentation layer&lt;/strong&gt; to increase the size of the dataset, by changing the angles of the plates to create a greater volume of training data.&lt;/p&gt;
&lt;p&gt;For transfer learning, the AI nutrition grader CNN model uses a &lt;em&gt;MobileNetV2&lt;/em&gt; backbone pretrained on &lt;em&gt;ImageNet&lt;/em&gt;. The model builds a &lt;strong&gt;custom classification head for feature extraction&lt;/strong&gt; and then &lt;strong&gt;fine-tunes the deeper layers&lt;/strong&gt; to adapt to its own food image dataset (drawn from &lt;em&gt;Nutrition5K&lt;/em&gt;).&lt;/p&gt;
&lt;p&gt;The README for this project on GitHub provides access to the images selected for this project&amp;rsquo;s dataset, with details about how to &lt;strong&gt;download large image files&lt;/strong&gt; so others can clone this repository and &lt;strong&gt;replicate&lt;/strong&gt; the AI nutrition grader project without needing to download the full &lt;em&gt;Nutrition5K&lt;/em&gt; dataset.&lt;/p&gt;</description>
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      <title>AI Proof Grading</title>
      <link>https://gfriedman77.github.io/project/research/</link>
      <pubDate>Wed, 10 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://gfriedman77.github.io/project/research/</guid>
      <description>&lt;p&gt;Analyzed 780+ graded mathematical proofs to compare LLM vs. human grader consistency and accuracy.
Identified feedback errors and applied statistical testing to evaluate grading reliability.&lt;/p&gt;
&lt;!--for the future when have a link to the article: [📄](/uploads/proofs_poster.pdf)--&gt;</description>
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      <title>Canada&#39;s Labor Market</title>
      <link>https://gfriedman77.github.io/project/time-series/</link>
      <pubDate>Mon, 16 Dec 2024 00:00:00 +0000</pubDate>
      <guid>https://gfriedman77.github.io/project/time-series/</guid>
      <description>&lt;p&gt;Conducted time-series analysis of rates of employment type by sex and province. Explored long-term trends and seasonal patterns to identify changes in economy and culture over time (1976–2019).&lt;/p&gt;</description>
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      <title>Projects</title>
      <link>https://gfriedman77.github.io/projects/</link>
      <pubDate>Sun, 19 May 2024 00:00:00 +0000</pubDate>
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      <title>Skills</title>
      <link>https://gfriedman77.github.io/skills/</link>
      <pubDate>Sun, 19 May 2024 00:00:00 +0000</pubDate>
      <guid>https://gfriedman77.github.io/skills/</guid>
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      <title>Education</title>
      <link>https://gfriedman77.github.io/education/</link>
      <pubDate>Tue, 24 Oct 2023 00:00:00 +0000</pubDate>
      <guid>https://gfriedman77.github.io/education/</guid>
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      <title>Experience</title>
      <link>https://gfriedman77.github.io/experience/</link>
      <pubDate>Tue, 24 Oct 2023 00:00:00 +0000</pubDate>
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