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    <title>DEV Community: PRIYA DHARSHINI.R</title>
    <description>The latest articles on DEV Community by PRIYA DHARSHINI.R (@priya_dharshinir_).</description>
    <link>https://dev.to/priya_dharshinir_</link>
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      <title>DEV Community: PRIYA DHARSHINI.R</title>
      <link>https://dev.to/priya_dharshinir_</link>
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      <title>Smart Support Desk-AI-Enabled Ticket Management System</title>
      <dc:creator>PRIYA DHARSHINI.R</dc:creator>
      <pubDate>Thu, 07 May 2026 15:31:07 +0000</pubDate>
      <link>https://dev.to/priya_dharshinir_/smart-support-desk-ai-enabled-ticket-management-system-2hof</link>
      <guid>https://dev.to/priya_dharshinir_/smart-support-desk-ai-enabled-ticket-management-system-2hof</guid>
      <description>&lt;p&gt;*&lt;em&gt;Create Ticket &amp;amp; Email-to-Ticket Automation Module *&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;Developed an intelligent ticket management module for the Smart Support Desk AI-enabled system that allows users to create support tickets manually and automatically through email integration.&lt;/p&gt;

&lt;p&gt;Key Features:&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Manual Ticket Creation through a user-friendly web interface&lt;/li&gt;
&lt;li&gt;Automatic Email-to-Ticket Generation using incoming support emails&lt;/li&gt;
&lt;li&gt;AI-based Ticket Categorization (Network, Login, Software, etc.)&lt;/li&gt;
&lt;li&gt;Priority Detection (High, Medium, Low)&lt;/li&gt;
&lt;li&gt;Unique Ticket ID Generation&lt;/li&gt;
&lt;li&gt;Real-time Ticket Status Tracking&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;Database Integration using Postgre SQL&lt;br&gt;
Dashboard Visualization for ticket analytics and monitoring&lt;/p&gt;

&lt;p&gt;Email-to-Ticket Workflow:&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;User sends an email to the support mailbox&lt;/li&gt;
&lt;li&gt;System reads incoming emails automatically&lt;/li&gt;
&lt;li&gt;Email subject and body are analyzed&lt;/li&gt;
&lt;li&gt;AI predicts issue category and priority&lt;/li&gt;
&lt;li&gt;A support ticket is generated instantly&lt;/li&gt;
&lt;li&gt;Ticket details are stored in the database&lt;/li&gt;
&lt;li&gt;Notification and acknowledgement email are sent to the user&lt;/li&gt;
&lt;li&gt;The user will get the email along with ai suggestion(until the support team reaches the user support the user can be go ahead with ai-suggestion which was generated on email) in which priority the ticket was reached the support team.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;Technologies Used:&lt;br&gt;
Frontend: HTML, CSS, TypeScript&lt;br&gt;
Backend: Node.js&lt;br&gt;
Database: Postgre SQL&lt;br&gt;
AI/ML: Python-based ticket classification model&lt;br&gt;
Email Service: SMTP / IMAP Integration&lt;br&gt;
Dashboard: AI -Dashboard  and AI-Suggestion &lt;/p&gt;

&lt;p&gt;Outcome:&lt;br&gt;
This module reduces manual workload for support teams, improves response time, automates issue handling, and enables intelligent ticket processing in real-time enterprise environments.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fe65miy63rr7r5do5gcf6.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fe65miy63rr7r5do5gcf6.png" alt=" " width="554" height="416"&gt;&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>automation</category>
      <category>postgres</category>
      <category>showdev</category>
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