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    <title>DEV Community: Jinal301409</title>
    <description>The latest articles on DEV Community by Jinal301409 (@jinal301409).</description>
    <link>https://dev.to/jinal301409</link>
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      <title>DEV Community: Jinal301409</title>
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      <title>VivaBuddy: a local AI examiner I built for my friend's DBMS viva</title>
      <dc:creator>Jinal301409</dc:creator>
      <pubDate>Fri, 02 Oct 2026 10:45:52 +0000</pubDate>
      <link>https://dev.to/jinal301409/vivabuddy-a-local-ai-examiner-i-built-for-my-friends-dbms-viva-4e7d</link>
      <guid>https://dev.to/jinal301409/vivabuddy-a-local-ai-examiner-i-built-for-my-friends-dbms-viva-4e7d</guid>
      <description>&lt;p&gt;&lt;em&gt;This is a submission for the &lt;a href="https://dev.to/challenges/hacktoberfest-weekend-2026-10-01"&gt;Hacktoberfest Weekend Challenge: Build for a Friend&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  What I Built
&lt;/h2&gt;

&lt;p&gt;VivaBuddy is an AI examiner that runs fully on my laptop. I built it for my friend [Name], who has a [subject] viva on [date]. [Name] prepares by re-reading notes, but freezes when the examiner asks a follow-up question. VivaBuddy asks questions from [Name]'s own notes and adapts: a strong answer gets a harder follow-up, a weak one gets an easier question from another angle.&lt;/p&gt;

&lt;h2&gt;
  
  
  Demo
&lt;/h2&gt;

&lt;p&gt;&lt;a href="https://drive.google.com/file/d/1w60YCTo1ogxUJZ3-YGB6uqfGfTmxyDPL/view?usp=sharing" rel="noopener noreferrer"&gt;https://drive.google.com/file/d/1w60YCTo1ogxUJZ3-YGB6uqfGfTmxyDPL/view?usp=sharing&lt;/a&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  Code
&lt;/h2&gt;

&lt;p&gt;GITHUB REPO LINK :-  &lt;a href="https://github.com/Jinal301409/Hacktoberfest-vivabuddy.git" rel="noopener noreferrer"&gt;https://github.com/Jinal301409/Hacktoberfest-vivabuddy.git&lt;/a&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  How I Built It
&lt;/h2&gt;

&lt;p&gt;Notes are split into sections and embedded locally with &lt;code&gt;nomic-embed-text&lt;/code&gt;.&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Gemma (&lt;code&gt;gemma3:4b&lt;/code&gt;) runs through Ollama and grades each answer only against those notes.&lt;/li&gt;
&lt;li&gt;Scores are averaged per topic in code, and the model only writes the final recommendation.&lt;/li&gt;
&lt;li&gt;Stack: React, Node/Express, MongoDB Atlas.&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  Why Does Open Innovation Matter?
&lt;/h2&gt;

&lt;p&gt;The model runs locally, so [Name]'s notes are never sent to an AI company.&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;It costs nothing per question.&lt;/li&gt;
&lt;li&gt;I could swap models: I started on a 1B Gemma, then moved to 4B when the small one graded too generously.&lt;/li&gt;
&lt;li&gt;Honest note: MongoDB Atlas is cloud-hosted, so notes and scores are stored there. Only the AI model runs locally.&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  My Agent Session
&lt;/h2&gt;

&lt;h2&gt;
  
  
  Prize Categories
&lt;/h2&gt;

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      <category>devchallenge</category>
      <category>weekendchallenge</category>
      <category>hf26challenge</category>
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